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illusion615
/
FLUX.1-schnell-MLX

Text-to-Image
MLX
English
apple-silicon
image-generation
diffusion
flux
Model card Files Files and versions
xet
Community

Instructions to use illusion615/FLUX.1-schnell-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use illusion615/FLUX.1-schnell-MLX with MLX:

    # Download the model from the Hub
    pip install huggingface_hub[hf_xet]
    
    huggingface-cli download --local-dir FLUX.1-schnell-MLX illusion615/FLUX.1-schnell-MLX
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • LM Studio
FLUX.1-schnell-MLX
7.03 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
illusion615's picture
illusion615
Upload folder using huggingface_hub
7b41e09 verified 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 4 months ago
  • README.md
    2.95 kB
    Upload folder using huggingface_hub 4 months ago
  • __init__.py
    234 Bytes
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  • ae.safetensors
    335 MB
    xet
    Upload folder using huggingface_hub 4 months ago
  • autoencoder.py
    6.27 kB
    Upload folder using huggingface_hub 4 months ago
  • clip_encoder.py
    5.56 kB
    Upload folder using huggingface_hub 4 months ago
  • download_weights.py
    1.49 kB
    Upload folder using huggingface_hub 4 months ago
  • flux-schnell-4bit-quantized.safetensors
    6.69 GB
    xet
    Upload folder using huggingface_hub 4 months ago
  • flux_model.py
    17.4 kB
    Upload folder using huggingface_hub 4 months ago
  • pipeline.py
    16.7 kB
    Upload folder using huggingface_hub 4 months ago
  • sampler.py
    4.08 kB
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  • t5_encoder.py
    8.08 kB
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  • tokenizers.py
    4.65 kB
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  • weight_loader.py
    9.92 kB
    Upload folder using huggingface_hub 4 months ago