Instructions to use WolvesVampire/AnimateDiff-Lightning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WolvesVampire/AnimateDiff-Lightning with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WolvesVampire/AnimateDiff-Lightning", 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 animatediff_lightning_8step_diffusers.safetensors from WolvesVampire/AnimateDiff-Lightning: direct link, hf CLI and curl.
- Browser
- Download file 908 MB
-
https://huggingface.co/WolvesVampire/AnimateDiff-Lightning/resolve/main/animatediff_lightning_8step_diffusers.safetensors
- Command line
-
hf download hf://WolvesVampire/AnimateDiff-Lightning/animatediff_lightning_8step_diffusers.safetensors
-
curl -L -o animatediff_lightning_8step_diffusers.safetensors https://huggingface.co/WolvesVampire/AnimateDiff-Lightning/resolve/main/animatediff_lightning_8step_diffusers.safetensors
908 MB
- Xet hash:
- 5763edad365290ede811dac58f1fe977930a3b12d90f1736bc98f4df7effca45
- Size of remote file:
- 908 MB
- SHA256:
- 849e93641e2ae7dde37fb312747a5e8671920bddf5a8d27757ac7b1699571a96
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