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sidemix
/
lexymodel3

Text-to-Image
Diffusers
Safetensors
flux
lora
template:sd-lora
fluxgym
Model card Files Files and versions
xet
Community

Instructions to use sidemix/lexymodel3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use sidemix/lexymodel3 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("sidemix/lexymodel3")
    
    prompt = "Selfie, lexyModel, close-up, holding iPhone with black case, rooftop at sunset, city skyline behind, golden hour light, photoreal, soft skin detail, natural smile --neg (extra fingers, bad hands, poorly drawn hands, missing fingers, deformed hands, bad eyes, extra limbs, long neck, mutated fingers, extra arms, extra legs, bad anatomy, blurry, lowres, watermark, signature, text, artifacts)"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
lexymodel3
630 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
sidemix's picture
sidemix
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  • sample
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  • .gitattributes
    5.95 kB
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  • README.md
    5.21 kB
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  • dataset.toml
    258 Bytes
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  • lexymodel.safetensors
    613 MB
    xet
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  • sample_prompts.txt
    3.5 kB
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  • train.sh
    1.37 kB
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