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
File size: 275 Bytes
d2fd4d6 063ebcd d2fd4d6 063ebcd d2fd4d6 063ebcd d2fd4d6 063ebcd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"_class_name": "StepVideoPipeline",
"_diffusers_version": "0.31.0",
"scheduler": [
"diffusers",
"FlowMatchEulerDiscreteScheduler"
],
"transformer": [
"diffusers",
"StepVideoModel"
],
"vae": [
"diffusers",
"AutoencoderKLStepvideo"
]
} |