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WaveCut
/
Krea-2-Raw-SDNQ-uint4

Text-to-Image
Diffusers
Safetensors
English
Krea2Pipeline
krea2
sdnq
uint4
4-bit precision
quantized
Model card Files Files and versions
xet
Community

Instructions to use WaveCut/Krea-2-Raw-SDNQ-uint4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use WaveCut/Krea-2-Raw-SDNQ-uint4 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("WaveCut/Krea-2-Raw-SDNQ-uint4", 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
Krea-2-Raw-SDNQ-uint4
16.5 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
WaveCut's picture
WaveCut
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d969997 verified 11 days ago
  • assets
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  • benchmark
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  • 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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  • LICENSE.pdf
    138 kB
    xet
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  • README.md
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  • SHA256SUMS
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  • lab_metadata.json
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  • model_index.json
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  • prompts.json
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  • quantization_manifest.json
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