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Huage001
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CLEAR

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How to use from the
Use from the
Diffusers library
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]

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