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:
- 71a4bb95cb4252738360e0a55a962999e218a58dae99227df0469073016ee16a
- Size of remote file:
- 198 MB
- SHA256:
- 37eb394f655596166035d4d92477437a26dbe44ae0270e8c9d34a56a7f199cd2
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