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nwilliams68
/
mia-lora-v1

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

Instructions to use nwilliams68/mia-lora-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use nwilliams68/mia-lora-v1 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Alissonerdx/flux.1-dev-SRPO-LoRas", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("nwilliams68/mia-lora-v1")
    
    prompt = "Full-body cinematic photograph of mia_mjr walking through downtown lights in a fitted red mini dress and stiletto heels. Wind catching her hair, reflections on wet pavement, confident stride. Professional fashion editorial lighting, 8k ultra-realistic detail, perfect skin texture, proportional anatomy, natural pose, soft depth of field, realistic shadows, elegant posture. Shot on full-frame DSLR, ISO 100, f/1.8, 35mm lens. Style: clean, modern, high-fashion realism. Composition: full head-to-toe framing showing footwear clearly."
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
mia-lora-v1
133 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
nwilliams68's picture
nwilliams68
Add 3 files
03574bc verified 7 months ago
  • images
    Add 3 files 7 months ago
  • .gitattributes
    2.31 kB
    initial commit 7 months ago
  • Mia_LoRA_v1.safetensors
    131 MB
    xet
    Add 3 files 7 months ago
  • README.md
    1.13 kB
    initial commit 7 months ago