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LyliaEngine
/
Ouyenm

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

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

  • Libraries
  • Diffusers

    How to use LyliaEngine/Ouyenm with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-xl-early-release-v0", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("LyliaEngine/Ouyenm")
    
    prompt = "0uy3nm, masterpiece, best quality, amazing quality, detailed, newest, flower, no humans, animal, red flower, fish, animal focus, waves, black circle, egasumi, goldfish, seigaiha, koi, ink wash painting, sumi-e, brushstrokes, <lora:Ouyenm:1>"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
Ouyenm
257 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
LyliaEngine's picture
LyliaEngine
Update README.md
f99c1e7 verified about 1 month ago
  • images
    Add 4 files about 1 month ago
  • .gitattributes
    2.31 kB
    initial commit about 1 month ago
  • Ouyenm.safetensors
    228 MB
    xet
    Add 4 files about 1 month ago
  • README.md
    3.46 kB
    Update README.md about 1 month ago