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lightx2v
/
Self-Forcing-FP8

Text-to-Video
Diffusers
video-generation
Model card Files Files and versions
xet
Community

Instructions to use lightx2v/Self-Forcing-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use lightx2v/Self-Forcing-FP8 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("lightx2v/Self-Forcing-FP8", 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
Self-Forcing-FP8
1.45 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
lightx2v's picture
lightx2v
Create README.md
6385e96 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
    170 Bytes
    Create README.md about 2 months ago
  • self_forcing_fp8.safetensors
    1.45 GB
    xet
    Add files using upload-large-folder tool 2 months ago