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pengxiang
/
TrackDiffusion_Pretrain

Diffusers
Safetensors
TextToVideoSDPipeline
Model card Files Files and versions
xet
Community

Instructions to use pengxiang/TrackDiffusion_Pretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use pengxiang/TrackDiffusion_Pretrain with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("pengxiang/TrackDiffusion_Pretrain", 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
TrackDiffusion_Pretrain
6.87 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
pengxiang's picture
pengxiang
init
7f8d265 about 2 years ago
  • scheduler
    init about 2 years ago
  • text_encoder
    init about 2 years ago
  • tokenizer
    init about 2 years ago
  • unet
    init about 2 years ago
  • vae
    init about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • model_index.json
    439 Bytes
    init about 2 years ago