Instructions to use bluestarburst/AnimateDiff-SceneFusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bluestarburst/AnimateDiff-SceneFusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bluestarburst/AnimateDiff-SceneFusion", torch_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
- Xet hash:
- 7f07a4b4f48cc75256d308b123d66c732a14674cef9a26e4f5d01502347fcbc8
- Size of remote file:
- 1.67 GB
- SHA256:
- c71fefee43dfc0122ad880297feeef7c599bf5a2c26c3075b8a42e7a1e1609ba
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