Instructions to use vladmandic/animatediff-sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vladmandic/animatediff-sdxl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("vladmandic/animatediff-sdxl", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download diffusion_pytorch_model.bin from vladmandic/animatediff-sdxl: direct link, hf CLI and curl.
- Browser
- Download file 950 MB
-
https://huggingface.co/vladmandic/animatediff-sdxl/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://vladmandic/animatediff-sdxl/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/vladmandic/animatediff-sdxl/resolve/main/diffusion_pytorch_model.bin
950 MB
- Xet hash:
- 1719cadc6a41067b3ce1f9f5bad7fa3a538016dd909aaab5c76833684d3f1fa4
- Size of remote file:
- 950 MB
- SHA256:
- fa4950a062e892fca50d4c441fcd6130d1ad68a621a0404d155be17580072978
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