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CSWRY
/
VOSR

Diffusers
Safetensors
Model card Files Files and versions
xet
Community

Instructions to use CSWRY/VOSR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use CSWRY/VOSR with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("CSWRY/VOSR", 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
VOSR / torch_cache /facebookresearch_dinov2_main
4.09 MB
Ctrl+K
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  • 1 contributor
History: 1 commit
CSWRY's picture
CSWRY
update
bf5da48 verified about 2 months ago
  • .github
    update about 2 months ago
  • __pycache__
    update about 2 months ago
  • dinov2
    update about 2 months ago
  • docs
    update about 2 months ago
  • notebooks
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  • scripts
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  • .gitignore
    117 Bytes
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  • CODE_OF_CONDUCT.md
    3.62 kB
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  • CONTRIBUTING.md
    1.27 kB
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  • LICENSE
    11.6 kB
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  • LICENSE_CELL_DINO_CODE
    19 kB
    update about 2 months ago
  • LICENSE_CELL_DINO_MODELS
    11.6 kB
    update about 2 months ago
  • LICENSE_XRAY_DINO_MODEL
    9.92 kB
    update about 2 months ago
  • MODEL_CARD.md
    9.42 kB
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  • README.md
    33.6 kB
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  • conda-extras.yaml
    519 Bytes
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  • conda.yaml
    458 Bytes
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  • hubconf.py
    1.14 kB
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  • pyproject.toml
    446 Bytes
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  • requirements-dev.txt
    46 Bytes
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  • requirements-extras.txt
    42 Bytes
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  • requirements.txt
    224 Bytes
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  • setup.cfg
    138 Bytes
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  • setup.py
    2.84 kB
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