Instructions to use hkung/face-anon-simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hkung/face-anon-simple 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("hkung/face-anon-simple", 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
Commit History
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Add model card, link to paper (#1)
Verified signature- Add model card, link to paper (575f54f93c9d8a67cefca98b8fa95288a4a4fb9e) Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>0966720
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Upload folder using huggingface_hub
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Upload folder using huggingface_hub
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initial commit
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