Instructions to use diffusers/motion-adapter-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers/motion-adapter-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers/motion-adapter-test", 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:
- 0f5ef3602c89b4d71ba7af34bc1d3ace50195dadf3bf17f1fea0ce1e6e25f77b
- Size of remote file:
- 1.82 GB
- SHA256:
- 6f439a538060ca14bc4c1551fda5a80b6b55b4dd9a0c33c33a1c561ee5e11922
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