Instructions to use TencentARC/BrushEdit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TencentARC/BrushEdit 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("TencentARC/BrushEdit", torch_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
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### Video
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https://github.com/user-attachments/assets/fde82f21-8b36-4584-8460-c109c195e614
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### Code
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### Video
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[Watch the introduction video](https://liyaowei-stu.github.io/project/BrushEdit/) in our project page or [YouTube](https://www.youtube.com/watch?v=nDB7un9Rbdk).
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### Code
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