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:
- b832f64ae3ff2caabbf7d55a4640e0f07180145a799e9295440c93c72f10f6b7
- Size of remote file:
- 1.67 GB
- SHA256:
- 33066ca3c283ce623ab45435bb3e8dafd090bac908408fe029ae044df1aaff21
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