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TheCodingBug
/
Z-Image-Turbo-int8

Text-to-Image
Diffusers
Safetensors
ZImagePipeline
z-image
quantized
int8
sdnq
Model card Files Files and versions
xet
Community

Instructions to use TheCodingBug/Z-Image-Turbo-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use TheCodingBug/Z-Image-Turbo-int8 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("TheCodingBug/Z-Image-Turbo-int8", 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
Z-Image-Turbo-int8 / transformer
6.18 GB
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  • 1 contributor
History: 1 commit
TheCodingBug's picture
TheCodingBug
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8622ebe verified 4 months ago
  • bugquant_metadata.json
    192 Bytes
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  • config.json
    1.61 kB
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  • diffusion_pytorch_model.safetensors
    6.18 GB
    xet
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  • quantization_config.json
    986 Bytes
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