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GitHub Repository: huggingface/notebooks
 Path: blob/main/diffusers/flux_with_cfg.ipynb
Views: 2535
Kernel: Unknown Kernel

Flux with CFG

Flux, as a model, does not inherently use Classifier-Free Guidance (CFG). However, the implementation here incorporates CFG inspired by the PuLID Flux adaptation, which allows for more effective control over the generated output using prompts. The script was contributed by Linoy Tsaban,apolinário and Sayak Paul. The notebook is contributed by Parag Ekbote.

pip install diffusers torch
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from diffusers import DiffusionPipeline
import torch

model_name = "black-forest-labs/FLUX.1-dev"
prompt = "a watercolor painting of a unicorn"
negative_prompt = "pink"

try:
    pipeline = DiffusionPipeline.from_pretrained(
        model_name,
        torch_dtype=torch.bfloat16,
        custom_pipeline="pipeline_flux_with_cfg"
    )
    pipeline.enable_model_cpu_offload()

    img = pipeline(
        prompt=prompt,
        negative_prompt=negative_prompt,
        true_cfg=1.5,
        guidance_scale=3.5,
        generator=torch.manual_seed(0)
    ).images[0]

    img.save("cfg_flux.png")
    print("Image generated and saved successfully.")

except Exception as e:
    print(f"An error occurred: {e}")