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SamuelTallet
/
FLUX.2-klein-4B-SDNQ-4bit-dynamic

Text-to-Image
Diffusers
Safetensors
Flux2KleinPipeline
sdnq
flux
4-bit precision
Model card Files Files and versions
xet
Community

Instructions to use SamuelTallet/FLUX.2-klein-4B-SDNQ-4bit-dynamic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use SamuelTallet/FLUX.2-klein-4B-SDNQ-4bit-dynamic with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("SamuelTallet/FLUX.2-klein-4B-SDNQ-4bit-dynamic", 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 Settings
  • Draw Things
  • DiffusionBee
FLUX.2-klein-4B-SDNQ-4bit-dynamic
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  • 2 contributors
History: 7 commits
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SamuelTallet
Update README.md
6c1e0b7 verified 4 months ago
  • scheduler
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  • text_encoder
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  • tokenizer
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  • transformer
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  • .gitattributes
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  • README.md
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  • model_index.json
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