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medmekk
/
FLUX.1-dev-quantized-fp8-128

Diffusers
Safetensors
finegrained_fp8
Model card Files Files and versions
xet
Community

Instructions to use medmekk/FLUX.1-dev-quantized-fp8-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use medmekk/FLUX.1-dev-quantized-fp8-128 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("medmekk/FLUX.1-dev-quantized-fp8-128", 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
FLUX.1-dev-quantized-fp8-128
11.9 GB
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  • 1 contributor
History: 2 commits
medmekk's picture
medmekk
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4c7e633 verified 12 months ago
  • .gitattributes
    1.52 kB
    initial commit 12 months ago
  • README.md
    5.16 kB
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  • config.json
    640 Bytes
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  • diffusion_pytorch_model-00001-of-00002.safetensors
    9.99 GB
    xet
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  • diffusion_pytorch_model-00002-of-00002.safetensors
    1.94 GB
    xet
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  • diffusion_pytorch_model.safetensors.index.json
    179 kB
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