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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 / tokenizer
1.59 MB
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  • 1 contributor
History: 1 commit
pengxiang's picture
pengxiang
init
7f8d265 about 2 years ago
  • merges.txt
    525 kB
    init about 2 years ago
  • special_tokens_map.json
    472 Bytes
    init about 2 years ago
  • tokenizer_config.json
    737 Bytes
    init about 2 years ago
  • vocab.json
    1.06 MB
    init about 2 years ago