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ManyWayne
/
EMILIYA

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

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

  • Libraries
  • Diffusers

    How to use ManyWayne/EMILIYA with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", torch_dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("ManyWayne/EMILIYA")
    
    prompt = "omniemiliya, A medium close-up studio portrait of a young woman, head-and-shoulders framing with slight headroom, shot straight-on at eye level. She has striking icy blue-gray eyes with a direct, slightly melancholic gaze, thick dark eyebrows, and full nude-pink lips in a neutral, serious expression. Her skin is flawless with a subtle glow. Long, wet-look jet-black hair is slicked back from her face with visible water droplets and strands clinging to her neck and shoulders. She wears a black leather biker jacket with bold red and white horizontal stripes on the shoulders and hem, red piping along the seams, silver metal zippers and snap buttons, worn open at the top revealing a black ribbed top underneath. The jacket has a structured collar and visible texture with natural creases."
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
EMILIYA
3.55 kB
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  • 1 contributor
History: 1 commit
ManyWayne's picture
ManyWayne
initial commit
fe44ab4 verified 2 days ago
  • .gitattributes
    2.31 kB
    initial commit 2 days ago
  • README.md
    1.24 kB
    initial commit 2 days ago