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: 320 Bytes
d2fd4d6 572e0ce d2fd4d6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"_class_name": "AutoencoderKLStepvideo",
"_diffusers_version": "0.31.0",
"in_channels": 3,
"out_channels": 3,
"z_channels": 64,
"num_res_blocks": 2,
"version": 2,
"frame_len": 17,
"spatial_compression_ratio": 16,
"temporal_compression_ratio": 8,
"scaling_factor": 1.0
}
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