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Gemneye
/
SRUCKH

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

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

  • Libraries
  • Diffusers

    How to use Gemneye/SRUCKH 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("Gemneye/SRUCKH")
    
    prompt = "A man in his mid-40s with neatly styled short dark hair, light stubble, and a sharp jawline poses thoughtfully in a professional studio. He wears a tailored gray wool suit with a crisp white dress shirt, one hand resting on his chin and the other arm crossed over his chest. Studio lighting casts dramatic shadows across his face and suit, highlighting the texture of his hair, the grain of the suit fabric, and the subtle stubble on his cheeks. The background is a deep charcoal gray, keeping focus on his intense, contemplative expression. Ultra-realistic photography with high contrast and sharp detail, emphasizing confidence and sophistication."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
SRUCKH
346 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
Gemneye's picture
Gemneye
Add 2 files
65e8cea verified 6 months ago
  • images
    Add 2 files 6 months ago
  • .gitattributes
    2.31 kB
    initial commit 6 months ago
  • Flux-SRuckh-Lora-400.safetensors
    344 MB
    xet
    Add 2 files 6 months ago
  • README.md
    1.16 kB
    initial commit 6 months ago