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ModelsLab
/
Pixelwave-Flux

Text-to-Image
Diffusers
Safetensors
FluxPipeline
Model card Files Files and versions
xet
Community

Instructions to use ModelsLab/Pixelwave-Flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ModelsLab/Pixelwave-Flux with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("ModelsLab/Pixelwave-Flux", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Draw Things
  • DiffusionBee
Pixelwave-Flux
35.8 GB
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  • 2 contributors
History: 5 commits
mlgawd's picture
mlgawd
Update README.md
1e006f5 verified over 1 year ago
  • scheduler
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  • text_encoder
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  • text_encoder_2
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  • tokenizer
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  • tokenizer_2
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  • transformer
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  • vae
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  • .gitattributes
    1.56 kB
    Upload fre.png over 1 year ago
  • README.md
    659 Bytes
    Update README.md over 1 year ago
  • fre.png
    1.15 MB
    xet
    Upload fre.png over 1 year ago
  • model_index.json
    582 Bytes
    Upload FluxPipeline over 1 year ago