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
Add model card
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by nielsr HF Staff - opened
README.md
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library_name: diffusers
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pipeline_tag: image-to-image
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This repository contains the model of the paper [CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up](https://huggingface.co/papers/2412.16112).
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Code: https://github.com/Huage001/CLEAR
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