Instructions to use FastVideo/Waypoint-1-Small-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/Waypoint-1-Small-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FastVideo/Waypoint-1-Small-Diffusers", 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:
- 21e1065caca7a3969e65c53e2249f98050d580ad70e0b5cd8bce8b550bfd11b8
- Size of remote file:
- 16.9 MB
- SHA256:
- af904105ce1071b1202bba0059a841f4a7b85b48b6ec179c4948e3483476e0dd
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