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:
- 9c2e9081b77d5284ca32768135a7453df361074663279c3cb4c1e2e2b2d06f04
- Size of remote file:
- 2 GB
- SHA256:
- 2c8fa89118d7f615c4383e5820e060355ce8ebcd8865eca3f7797cb808b974cd
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