Instructions to use FastVideo/stepvideo-t2v-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/stepvideo-t2v-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/stepvideo-t2v-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:
- 7eee19f056f392ab2a8395d7681bf7dc77a4d6d8a60728a7b95fb3e5fb0bad5f
- Size of remote file:
- 1.89 MB
- SHA256:
- 50631c52a784e14d89f6ae7bcf6870e7b45f2fc7defac353622dfc502e406f05
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