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ixim
/
Z-Image-INT8

Text-to-Image
Diffusers
Safetensors
English
ZImagePipeline
quanto
int8
z-image
transformer-quantization
Model card Files Files and versions
xet
Community

Instructions to use ixim/Z-Image-INT8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ixim/Z-Image-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("ixim/Z-Image-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-INT8 / tokenizer
Ctrl+K
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  • 1 contributor
History: 1 commit
ixim's picture
ixim
Initial commit.
c7103a0 verified 3 months ago
  • merges.txt
    1.67 MB
    Initial commit. 3 months ago
  • tokenizer.json
    11.4 MB
    xet
    Initial commit. 3 months ago
  • tokenizer_config.json
    9.73 kB
    Initial commit. 3 months ago
  • vocab.json
    2.78 MB
    Initial commit. 3 months ago