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
Update vae/config.json
Browse files- vae/config.json +1 -1
vae/config.json
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"version": 2,
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"frame_len": 17,
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"spatial_compression_ratio": 16,
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"temporal_compression_ratio":
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"scaling_factor": 1.0
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}
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"version": 2,
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"frame_len": 17,
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"spatial_compression_ratio": 16,
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"temporal_compression_ratio": 8,
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"scaling_factor": 1.0
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}
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