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WaveCut
/
Turbo-Image-2.1-OrbitQuant-W4A4

Text-to-Image
Diffusers
Safetensors
English
Chinese
Russian
QwenImage21Pipeline
image-editing
qwen-image
orbitquant
w4a4
4-bit precision
quantized
turbo
few-step
8-bit precision
Model card Files Files and versions
xet
Community

Instructions to use WaveCut/Turbo-Image-2.1-OrbitQuant-W4A4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use WaveCut/Turbo-Image-2.1-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/Turbo-Image-2.1-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
Turbo-Image-2.1-OrbitQuant-W4A4 / text_encoder
8.33 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
WaveCut's picture
WaveCut
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db75a3f verified 15 days ago
  • config.json
    2.92 kB
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  • generation_config.json
    213 Bytes
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  • model-00001-of-00003.safetensors
    3.98 GB
    xet
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  • model-00002-of-00003.safetensors
    3.88 GB
    xet
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  • model-00003-of-00003.safetensors
    467 MB
    xet
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  • model.safetensors.index.json
    105 kB
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