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unsloth
/
Qwen-Image-2.1-FP8

Text-to-Image
Diffusers
English
Chinese
fp8
int8
unsloth
quantized
qwen
image-generation
image-editing
rgba
Model card Files Files and versions
xet
Community
2

Instructions to use unsloth/Qwen-Image-2.1-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use unsloth/Qwen-Image-2.1-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("unsloth/Qwen-Image-2.1-FP8", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Photorealistic photograph of an old movie theater with faded red seats, peeling walls, and a torn screen."
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
  • Unsloth Desktop
Qwen-Image-2.1-FP8
24.5 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
danielhanchen's picture
danielhanchen
Update README.md
d67caeb verified 5 days ago
  • samples
    Upload fp8_1.png 6 days ago
  • vae
    Initial commit 6 days ago
  • .gitattributes
    1.89 kB
    Upload int8_1.png 6 days ago
  • Qwen-Image-2.1-FP8.safetensors
    7.12 GB
    xet
    Initial commit 6 days ago
  • Qwen-Image-2.1-INT8.safetensors
    7.26 GB
    xet
    Initial commit 6 days ago
  • Qwen-Image-2.1-text_encoder-FP8.safetensors
    9.39 GB
    xet
    Initial commit 6 days ago
  • README.md
    8.72 kB
    Update README.md 5 days ago
  • int8_1.png
    1.17 MB
    xet
    Upload int8_1.png 6 days ago