drew-barrymore-flux

64
1
—
by
Keltezaa
Image Model
OTHER
New
64 downloads
Early-stage
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Quick Summary

AI model with specialized capabilities.

Code Examples

Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch
from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/drew-barrymore-flux', weight_name='Drew_Barrymore_Flux.safetensors')
image = pipeline(' beautiful photograph, short wavy golden blonde hair cascading down to her shoulders. she is standing in a cafe wearing a dress. Looking at the viewer smiling.').images[0]
Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch
from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/drew-barrymore-flux', weight_name='Drew_Barrymore_Flux.safetensors')
image = pipeline(' beautiful photograph, short wavy golden blonde hair cascading down to her shoulders. she is standing in a cafe wearing a dress. Looking at the viewer smiling.').images[0]
Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch
from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/drew-barrymore-flux', weight_name='Drew_Barrymore_Flux.safetensors')
image = pipeline(' beautiful photograph, short wavy golden blonde hair cascading down to her shoulders. she is standing in a cafe wearing a dress. Looking at the viewer smiling.').images[0]
Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)pythonpytorch
from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/drew-barrymore-flux', weight_name='Drew_Barrymore_Flux.safetensors')
image = pipeline(' beautiful photograph, short wavy golden blonde hair cascading down to her shoulders. she is standing in a cafe wearing a dress. Looking at the viewer smiling.').images[0]

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