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burhansyam
/
kebaya

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

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

  • Libraries
  • Diffusers

    How to use burhansyam/kebaya 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("burhansyam/kebaya")
    
    prompt = "a indonesian woman wearing kebaya and hijab, she wears bold red lipstick and powerful eyeshadow, she looks very serious, she is wearing luminescence cream color outfit, the background is dominated by light pink, low angle lighting, hand on hip pose, masterpiece, best quality, highly intricate details, hijab_selfie"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
kebaya
38.5 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
burhansyam's picture
burhansyam
Add 2 files
8ad0b1b verified about 1 year ago
  • images
    Add 2 files about 1 year ago
  • .gitattributes
    2.31 kB
    initial commit about 1 year ago
  • Kebaya Adat Indonesia.safetensors
    38.4 MB
    xet
    Add 2 files about 1 year ago
  • README.md
    748 Bytes
    initial commit about 1 year ago