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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 / vae
3.03 GB
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Ctrl+K
  • 2 contributors
History: 1 commit
fisherma's picture
fisherma
Upload folder using huggingface_hub
e028fc1 verified about 1 year ago
  • vae.safetensors
    1.04 GB
    xet
    Upload folder using huggingface_hub about 1 year ago
  • vae_v2.safetensors
    2 GB
    xet
    Upload folder using huggingface_hub about 1 year ago