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imagepipeline
/
Flux_Realism_Super_Lora

Text-to-Image
Diffusers
imagepipeline
imagepipeline.io
ultra-realistic
lora
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Diffusers

    How to use imagepipeline/Flux_Realism_Super_Lora 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("imagepipeline/Flux_Realism_Super_Lora")
    
    prompt = "A detailed photograph of a woman with short brunette hair styled in a sleek bob haircut. She is wearing a spaghetti strap, form-fitting sequin dress that shimmers in the light, sipping champagne from a glass at an elegant bar. Her makeup is flawless, featuring glossy lipstick, smoky eyes, and perfect, striking features."
    image = pipe(prompt).images[0]
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
Flux_Realism_Super_Lora
614 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 11 commits
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7iFiNalBoSS
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    xet
    Upload fd8813ee-307a-4ca3-b4b5-e9a480d89069.safetensors with huggingface_hub over 1 year ago