Instructions to use WeiChow/AnySD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WeiChow/AnySD 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("WeiChow/AnySD", 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
- Xet hash:
- 38006dceb72f9f3840fce28f0059c86bcb40d563c6a7ea88a319eee8b290a18e
- Size of remote file:
- 198 MB
- SHA256:
- af1824b3830ceeb0fbea398ae50ae192124d0e2d2f2ddab4da28a9031c5a0d8f
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