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BinaryLight1011
/
Cinemotion

Text-to-Video
Diffusers
Safetensors
lora
cogvideox
Model card Files Files and versions
xet
Community

Instructions to use BinaryLight1011/Cinemotion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use BinaryLight1011/Cinemotion with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    from diffusers.utils import export_to_video
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("THUDM/CogVideoX-2b", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("BinaryLight1011/Cinemotion")
    
    prompt = "A man with short gray hair plays a red electric guitar."
    
    output = pipe(prompt=prompt).frames[0]
    export_to_video(output, "output.mp4")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
Cinemotion
29.5 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
jeffvedd's picture
jeffvedd
Config 49 frames adicionado
c8e8505 verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    167 Bytes
    Upload README.md with huggingface_hub 3 months ago
  • adapter_config.json
    1.12 kB
    Upload adapter_config.json with huggingface_hub 3 months ago
  • adapter_model.safetensors
    29.5 MB
    xet
    Upload adapter_model.safetensors with huggingface_hub 3 months ago
  • generation_config.json
    367 Bytes
    Config 49 frames adicionado 2 months ago