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leonel4rd
/
MMAnime

Text-to-Image
Diffusers
lora
template:diffusion-lora
Model card Files Files and versions
xet
Community

Instructions to use leonel4rd/MMAnime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use leonel4rd/MMAnime with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("leonel4rd/MMAnime")
    
    prompt = "UNICODE\u0000\u0000k\u0000j\u00009\u0000 \u0000i\u0000l\u0000l\u0000u\u0000s\u0000t\u0000r\u0000a\u0000t\u0000i\u0000o\u0000n\u0000.\u0000"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
MMAnime
57.8 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
leonel4rd's picture
leonel4rd
Add 2 files
ffca6e5 verified over 1 year ago
  • images
    Add 2 files over 1 year ago
  • .gitattributes
    2.31 kB
    initial commit over 1 year ago
  • README.md
    746 Bytes
    initial commit over 1 year ago
  • kj91_cap_d6a3e12.safetensors
    57.6 MB
    xet
    Add 2 files over 1 year ago