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WaveCut
/
Krea-2-Turbo-OrbitQuant-W4A4

Text-to-Image
Diffusers
Safetensors
English
Krea2Pipeline
image-generation
krea2
orbitquant
w4a4
4-bit precision
quantized
8-bit precision
Model card Files Files and versions
xet
Community

Instructions to use WaveCut/Krea-2-Turbo-OrbitQuant-W4A4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use WaveCut/Krea-2-Turbo-OrbitQuant-W4A4 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-Turbo-OrbitQuant-W4A4", 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-Turbo-OrbitQuant-W4A4 / scripts
69.1 kB
Ctrl+K
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  • 1 contributor
History: 5 commits
WaveCut's picture
WaveCut
Finalize quality and inference optimized OrbitQuant release
f84e201 verified about 21 hours ago
  • benchmark_full_pipeline.py
    16.8 kB
    Add files using upload-large-folder tool 1 day ago
  • prepare_release.py
    20.6 kB
    Fix model card links and remove gated metadata 1 day ago
  • quantize_full_components.py
    15.8 kB
    Correct ungated visibility metadata 1 day ago
  • release_tools.py
    6.11 kB
    Add files using upload-large-folder tool 1 day ago
  • run_inference.py
    9.78 kB
    Finalize quality and inference optimized OrbitQuant release about 21 hours ago