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Gemneye
/
K1mScum

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

Instructions to use Gemneye/K1mScum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Gemneye/K1mScum 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.2-klein-9B", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("Gemneye/K1mScum")
    
    prompt = "A photograph of K1mScum, a woman with chestnut-brown hair and striking hazel eyes, leaning against a neon-lit railing in Tokyo’s Shibuya Crossing at night, captured in a candid three-quarter view. She is dressed in a structured black leather biker jacket over a minimalist white rib-knit top, exuding a cool, modern energy. The scene is defined by complex multi-colored lighting; vibrant pink and cyan neon reflects off her jacket's silver hardware and creates colorful specular highlights on her skin. Rain-slicked pavement in the background mirrors the chaotic glow of giant LED billboards, while a 50mm lens keeps her sharp against the cinematic motion blur of the bustling crowd. High-contrast lighting with deep, soft-edged shadows and rich color saturation."
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
K1mScum
2.65 GB
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  • 1 contributor
History: 3 commits
Gemneye's picture
Gemneye
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  • K1mScum-flux.2-klein_000002750.safetensors
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  • K1mScum_000003250.safetensors
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  • K1mScum_000003500.safetensors
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  • K1mScum_000003750.safetensors
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  • README.md
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