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", 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:
- 49b0a455308905982889276c752e75f7a5f214cd0ff4c6c0cd2b441ecc2858c4
- Size of remote file:
- 1.18 MB
- SHA256:
- da3602b356b6e38f5f722e123bee2c1ac4f55ab0832e28f3c312af50dd7b50b9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.