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yeonjoon-jung
/
FLUX.2-dev_FP8

Text-to-Image
Diffusers
Flux2Pipeline
Model card Files Files and versions
xet
Community
1

Instructions to use yeonjoon-jung/FLUX.2-dev_FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use yeonjoon-jung/FLUX.2-dev_FP8 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("yeonjoon-jung/FLUX.2-dev_FP8", 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_FP8
57.1 GB
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  • 1 contributor
History: 2 commits
yeonjoon-jung's picture
yeonjoon-jung
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690230f verified 5 months ago
  • scheduler
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  • text_encoder
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  • tokenizer
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  • transformer
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  • vae
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  • .gitattributes
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  • README.md
    31 Bytes
    initial commit 5 months ago
  • model_index.json
    482 Bytes
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