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wavespeed
/
FLUX.1-dev-mixed

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

Instructions to use wavespeed/FLUX.1-dev-mixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use wavespeed/FLUX.1-dev-mixed with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("wavespeed/FLUX.1-dev-mixed", 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
FLUX.1-dev-mixed
33.7 GB
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  • 1 contributor
History: 2 commits
chengzeyi's picture
chengzeyi
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0134a4f verified 11 months 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
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  • model_index.json
    681 Bytes
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