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stepfun-ai
/
stepvideo-t2v

Text-to-Video
Diffusers
Safetensors
StepVideoPipeline
Model card Files Files and versions
xet
Community
9

Instructions to use stepfun-ai/stepvideo-t2v with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use stepfun-ai/stepvideo-t2v with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("stepfun-ai/stepvideo-t2v", 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
stepvideo-t2v / lib
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  • 2 contributors
History: 1 commit
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fisherma
Upload folder using huggingface_hub
6367930 verified about 1 year ago
  • liboptimus_ths-torch2.2-cu121.cpython-310-x86_64-linux-gnu.so
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    xet
    Upload folder using huggingface_hub about 1 year ago
  • liboptimus_ths-torch2.3-cu121.cpython-310-x86_64-linux-gnu.so
    4 MB
    xet
    Upload folder using huggingface_hub about 1 year ago
  • liboptimus_ths-torch2.5-cu124.cpython-310-x86_64-linux-gnu.so
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    xet
    Upload folder using huggingface_hub about 1 year ago