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ShareLab-SII
/
UniAR-SFT

Image-to-Text
Diffusers
Safetensors
English
uniar
image-generation
image-understanding
image-editing
multimodal
autoregressive
text-to-image
unified-model
Model card Files Files and versions
xet
Community

Instructions to use ShareLab-SII/UniAR-SFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use ShareLab-SII/UniAR-SFT with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("ShareLab-SII/UniAR-SFT", 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
UniAR-SFT
74.4 GB
Ctrl+K
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  • 1 contributor
History: 5 commits
wjpoom's picture
wjpoom
Update README.md
e829d8c verified about 23 hours ago
  • bsq_encoder
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  • sd3_pipeline
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  • sd3_transformer
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  • .gitattributes
    1.65 kB
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  • README.md
    4.78 kB
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  • config.json
    1.54 kB
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  • merges.txt
    1.67 MB
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  • model-00001-of-00006.safetensors
    3.98 GB
    xet
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  • model-00002-of-00006.safetensors
    3.91 GB
    xet
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  • model-00003-of-00006.safetensors
    3.96 GB
    xet
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  • model-00004-of-00006.safetensors
    3.29 GB
    xet
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  • model-00005-of-00006.safetensors
    3.92 GB
    xet
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  • model-00006-of-00006.safetensors
    201 MB
    xet
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  • model.safetensors.index.json
    76 kB
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  • preprocessor_config.json
    306 Bytes
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  • tokenizer.json
    7.03 MB
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  • tokenizer_config.json
    8.2 kB
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  • vocab.json
    2.78 MB
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