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thejagstudio
/
dua-lipa

Text-to-Image
Diffusers
stable-diffusion
lora
template:sd-lora
Model card Files Files and versions
xet
Community
1

Instructions to use thejagstudio/dua-lipa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use thejagstudio/dua-lipa 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("thejagstudio/dua-lipa")
    
    prompt = "ohwx, headshot portrait of a beautiful woman with long dark red hair and brown eyes at an outdoor setting. The golden hour produce a beautiful light . cinematic, Rembrandt lighting, soft shadows, DLSR camera, DOF, color correction, professional color grading, realistic, detailed, brown eyes, red hair"
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
dua-lipa
172 MB
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  • 1 contributor
History: 4 commits
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thejagstudio
Update README.md
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  • dualipafluxV2_000001750.safetensors
    172 MB
    xet
    Upload dualipafluxV2_000001750.safetensors over 1 year ago