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fal
/
LongCat-Video-FlashPack

Diffusers
LongCatVideoPipeline
Model card Files Files and versions
xet
Community

Instructions to use fal/LongCat-Video-FlashPack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use fal/LongCat-Video-FlashPack with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("fal/LongCat-Video-FlashPack", 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
LongCat-Video-FlashPack / tokenizer
16.9 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
benjamin-paine's picture
benjamin-paine
Upload LongCatVideoPipeline
b5569d5 verified 6 months ago
  • special_tokens_map.json
    7.08 kB
    Upload LongCatVideoPipeline 6 months ago
  • tokenizer.json
    16.8 MB
    xet
    Upload LongCatVideoPipeline 6 months ago
  • tokenizer_config.json
    61.8 kB
    Upload LongCatVideoPipeline 6 months ago