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jdopensource
/
JoyAI-Video-Edit-Diffusers

Video-to-Video
Diffusers
Safetensors
English
JoyVideoEditPipeline
video
video-editing
reference-image-guided
autoregressive-diffusion
Model card Files Files and versions
xet
Community

Instructions to use jdopensource/JoyAI-Video-Edit-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use jdopensource/JoyAI-Video-Edit-Diffusers with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("jdopensource/JoyAI-Video-Edit-Diffusers", 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
JoyAI-Video-Edit-Diffusers / scheduler
Ctrl+K
Ctrl+K
  • 4 contributors
History: 2 commits
wxDai's picture
wxDai
scheduler: shift=5.159 to match the deployed denoise schedule
2f43eeb about 21 hours ago
  • scheduler_config.json
    489 Bytes
    scheduler: shift=5.159 to match the deployed denoise schedule about 21 hours ago