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QuantFunc
/
Qwen-Image-2.1-4bit

Text-to-Image
Diffusers
QwenImagePipeline
custom_qwen_image
image-generation
quantized
4-bit precision
int4
svdquant
qwen-image
quantfunc
comfyui
Model card Files Files and versions
xet
Community

Instructions to use QuantFunc/Qwen-Image-2.1-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use QuantFunc/Qwen-Image-2.1-4bit with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("QuantFunc/Qwen-Image-2.1-4bit", 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
Qwen-Image-2.1-4bit / assets
1.98 MB
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  • 1 contributor
History: 1 commit
QuantFunc's picture
QuantFunc
Update model card showcase
03494b8 verified 29 days ago
  • qwen21_show.webp
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  • qwen21_show3.webp
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