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T5B
/
Qwen-Image-Layered-FP8

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

Instructions to use T5B/Qwen-Image-Layered-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use T5B/Qwen-Image-Layered-FP8 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("T5B/Qwen-Image-Layered-FP8", 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-FP8
40.9 GB
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  • 1 contributor
History: 4 commits
T5B's picture
T5B
Update README.md
7886bc6 verified 5 months ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
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    Update README.md 5 months ago
  • qwen_image_layered_fp8_e4m3fn.safetensors
    20.5 GB
    xet
    Upload qwen_image_layered_fp8_e4m3fn.safetensors 5 months ago
  • qwen_image_layered_fp8_e5m2.safetensors
    20.5 GB
    xet
    Upload qwen_image_layered_fp8_e5m2.safetensors 5 months ago