Instructions to use ByteDance/AnimateDiff-Lightning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ByteDance/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("ByteDance/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
Update samples
Browse files
animatediff_lightning_samples.mp4 → animatediff_lightning_samples_t2v.mp4
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animatediff_lightning_samples_v2v.mp4
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version https://git-lfs.github.com/spec/v1
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oid sha256:f37ed7f780285e4a652713ae7ce35c7d346e1dfe1cbaaf30ea2f4139305c8d72
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size 2493344
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