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kaizensuper
/
leoma

Diffusers
Safetensors
WanImageToVideoPipeline
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use kaizensuper/leoma with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("kaizensuper/leoma", 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
leoma / vae
508 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
kaizensuper's picture
kaizensuper
Upload folder using huggingface_hub
3c208fd verified 4 days ago
  • config.json
    898 Bytes
    Upload folder using huggingface_hub 4 days ago
  • diffusion_pytorch_model.safetensors
    508 MB
    xet
    Upload folder using huggingface_hub 4 days ago