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jsoncx
/
HiDream-O1-Image-Dev

Image-Text-to-Image
Transformers
Safetensors
qwen3_vl
image-text-to-text
Model card Files Files and versions
xet
Community

Instructions to use jsoncx/HiDream-O1-Image-Dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jsoncx/HiDream-O1-Image-Dev with Transformers:

    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("jsoncx/HiDream-O1-Image-Dev")
    model = AutoModelForMultimodalLM.from_pretrained("jsoncx/HiDream-O1-Image-Dev")
  • Notebooks
  • Google Colab
  • Kaggle
HiDream-O1-Image-Dev / fp32
35.2 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
jsoncx's picture
jsoncx
Upload fp32/model.safetensors.index.json with huggingface_hub
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    4.96 GB
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    4.83 GB
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    4.83 GB
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    5 GB
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  • model-00005-of-00008.safetensors
    4.83 GB
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    4.83 GB
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  • model-00007-of-00008.safetensors
    3.44 GB
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  • model-00008-of-00008.safetensors
    2.49 GB
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  • model.safetensors.index.json
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