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Jemmo
/
peroduabezza

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

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

  • Libraries
  • Diffusers

    How to use Jemmo/peroduabezza 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("Jemmo/peroduabezza")
    
    prompt = "A teenage  Malay woman wearing a traditional headscarf and modest outfit stands confidently at the center of a bustling car showroom scene, surrounded by sleek vehicles and modern architectural details like glass walls and minimalist decor. The subject's facial expression is serene, with fine features visible through detailed skin texture that captures pores and subtle freckles on her cheeks. Her dark hair peeks out from beneath the hijab, adding to her youthful charm."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
peroduabezza
39.8 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Jemmo's picture
Jemmo
Upload peroduabezza.safetensors
880de5e verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    3.88 kB
    Update README.md over 1 year ago
  • peroduabezza.safetensors
    39.8 MB
    xet
    Upload peroduabezza.safetensors over 1 year ago