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prithivMLmods
/
FLUX.1-Kontext-Cinematic-Relighting

Image-to-Image
Diffusers
lora
template:diffusion-lora
Kontext
Cinematic-Relighting
Realism
art
climate
Model card Files Files and versions
xet
Community

Instructions to use prithivMLmods/FLUX.1-Kontext-Cinematic-Relighting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use prithivMLmods/FLUX.1-Kontext-Cinematic-Relighting with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    from diffusers.utils import load_image
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev", dtype=torch.bfloat16, device_map="cuda")
    pipe.load_lora_weights("prithivMLmods/FLUX.1-Kontext-Cinematic-Relighting")
    
    prompt = "Cinematic Relighting, Relight this portrait with warm, cinematic indoor lighting. Add soft amber highlights and gentle shadows to the face mimicking golden-hour light through a cozy room. Maintain natural skin texture and soft facial shadows, while enhancing eye catchlights for a vivid, lifelike look. Adjust white balance to a warmer tone, and slightly boost exposure to soften the darker midtones. Preserve the subject's pose and expression, and enhance the depth with gentle background bokeh and subtle filmic glow."
    input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")
    
    image = pipe(image=input_image, prompt=prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
FLUX.1-Kontext-Cinematic-Relighting
617 MB
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  • 1 contributor
History: 15 commits
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f02ad2c verified 10 months ago
  • images
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  • .gitattributes
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  • FLUX.1-Kontext-Cinematic-Relighting.safetensors
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    xet
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  • README.md
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