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Huage001
/
CLEAR

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Instructions to use Huage001/CLEAR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Huage001/CLEAR with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    from diffusers.utils import load_image
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Huage001/CLEAR", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Turn this cat into a dog"
    input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
    
    image = pipe(image=input_image, prompt=prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle

This repository contains the model of the paper CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up.

Code: https://github.com/Huage001/CLEAR

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Paper for Huage001/CLEAR

CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up

Paper • 2412.16112 • Published Dec 20, 2024 • 23
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