NoobAI-XL-v1.1-SDNQ-uint4-svd-r128

Name: NoobAI-XL-v1.1-SDNQ-uint4-svd-r128
Author: Disty0

1.1B

—

Disty0

Image Model

OTHER

1.1B params

New

64 downloads

Early-stage

Try on Hugging Face Add to Compare

Edge AI:

Mobile

Laptop

Server

3GB+ RAM

Mobile

Laptop

Server

Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile

4-6GB RAM

Laptop

16GB RAM

Server

GPU

Minimum Recommended

2GB+ RAM

Code Examples

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

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pip install git+https://github.com/Disty0/sdnq

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

pythonpytorch

import torch
import diffusers
from sdnq import SDNQConfig # import sdnq to register it into diffusers and transformers

device = "xpu" if hasattr(torch,"xpu") and torch.xpu.is_available() else "mps" if hasattr(torch,"mps") and hasattr(torch.mps, "is_available") and torch.mps.is_available() else "cuda" if torch.cuda.is_available() else "cpu"

pipe = diffusers.StableDiffusionXLPipeline.from_pretrained("Disty0/NoobAI-XL-v1.1-SDNQ-uint4-svd-r128", torch_dtype=torch.bfloat16)
pipe = pipe.to(device)

prompt = "masterpiece, best quality, artist:john_kafka, artist:nixeu, artist:quasarcake, chromatic aberration, film grain, horror (theme), limited palette, x-shaped pupils, high contrast, color contrast, cold colors, arlecchino (genshin impact), black theme, gritty, graphite (medium)"
negative_prompt = "nsfw, worst quality, old, early, low quality, lowres, signature, username, logo, bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral, semi-anthro"

image = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    width=832,
    height=1216,
    num_inference_steps=28,
    guidance_scale=2.0,
    generator=torch.Generator().manual_seed(42),
).images[0]
image.save("noobai-xl-v1.1-sdnq-uint4-svd-r128.png")

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