Lumina Yume V0.1

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")

import torch
from diffusers import Lumina2Pipeline

pipe = Lumina2Pipeline.from_pretrained("duongve/Lumina-Yume-v0.1", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power

prompt = "There are three girls. The girl on the left side has a long black hair and blue eyes. The girls on the right side has pink hair and yellow eyes. The girl on the middle has a short blonde hair and orange eyes. They are on the park"
image = pipe(
    prompt,
    height=1216,
    width=832,
    guidance_scale=4.0,
    num_inference_steps=50,
    cfg_trunc_ratio=0.25,
    cfg_normalization=True,
    generator=torch.Generator("cpu").manual_seed(0),
    system_prompt="You are an assistant designed to generate superior anime images with the superior degree of image-text alignment based on textual prompts or user prompts.",

).images[0]
image.save("luminayume_demo.png")