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LyliaEngine
/
Mirazhael

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

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

  • Libraries
  • Diffusers

    How to use LyliaEngine/Mirazhael 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/Mirazhael")
    
    prompt = "miraz, scenery, masterpiece, best quality, newest, absurdres, highres, focus, depth of field, dynamic angle, cinematic lighting, volumetric lighting, 1girl, unworn mask, black hair, red eyes, animal ears, fox tail, solo, tattoo, unworn katana, fox mask, long hair, hair ornament, hairclip, rope, ear piercing, holding sakazuki, sheath, jewelry, tattoo, bangs, arm tattoo, yellow background, off shoulder kimono, nail polish, red nails, dutch angle, from behind, looking back, shoji, scenery, fine details, soft shading, gentle lighting, mysterious ambiance, soft textures, backless, sitting, mountainous horizon, panorama, plum blossoms, petals, <lora:Mirazhæl:1>"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
Mirazhael / images
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  • 1 contributor
History: 1 commit
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LyliaEngine
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