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vantagewithai
/
Qwen-Image-Layered-GGUF

Image-Text-to-Image
Diffusers
GGUF
English
Chinese
Model card Files Files and versions
xet
Community

Instructions to use vantagewithai/Qwen-Image-Layered-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use vantagewithai/Qwen-Image-Layered-GGUF with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("vantagewithai/Qwen-Image-Layered-GGUF", 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
Qwen-Image-Layered-GGUF
157 GB
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  • 1 contributor
History: 10 commits
vantagewithai's picture
vantagewithai
Upload Vantage-Qwen-Image-Layered-runninghub.json
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  • .gitattributes
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  • Qwen_Image_Layered-Q3_K_M.gguf
    9.87 GB
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    Medium quality good for quick testing on low VRAM. 8 months ago
  • Qwen_Image_Layered-Q4_0.gguf
    12 GB
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  • Qwen_Image_Layered-Q4_1.gguf
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  • Qwen_Image_Layered-Q4_K_M.gguf
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  • Qwen_Image_Layered-Q4_K_S.gguf
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  • Qwen_Image_Layered-Q5_0.gguf
    14.4 GB
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  • Qwen_Image_Layered-Q5_1.gguf
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  • Qwen_Image_Layered-Q5_K_M.gguf
    14.9 GB
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  • Qwen_Image_Layered-Q5_K_S.gguf
    14.1 GB
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  • Qwen_Image_Layered-Q6_K.gguf
    16.8 GB
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  • Qwen_Image_Layered-Q8_0.gguf
    21.8 GB
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  • README.md
    4.52 kB
    Update README.md 8 months ago
  • Vantage-Qwen-Image-Layered-runninghub.json
    128 kB
    Upload Vantage-Qwen-Image-Layered-runninghub.json 7 months ago
  • Vantage-Qwen-Image-Layered.json
    162 kB
    Upload Vantage-Qwen-Image-Layered.json 7 months ago