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mzbac
/
FLUX.2-dev-q8

Text-to-Image
Diffusers
Safetensors
Flux2Pipeline
Model card Files Files and versions
xet
Community

Instructions to use mzbac/FLUX.2-dev-q8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use mzbac/FLUX.2-dev-q8 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("mzbac/FLUX.2-dev-q8", 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.2-dev-q8 / text_encoder
27.6 GB
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  • 1 contributor
History: 1 commit
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mzbac
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