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hnpinq
/
Quantized_TryOn

Diffusers
Safetensors
Pruna AI
None
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Pruna AI

    How to use hnpinq/Quantized_TryOn with Pruna AI:

    from pruna import PrunaModel
    pip install -U diffusers transformers accelerate
    from pruna import PrunaModel
    import torch
    # switch to "mps" for apple devices
    pipe = PrunaModel.from_pretrained("hnpinq/Quantized_TryOn", 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
Quantized_TryOn
13.4 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
hnpinq's picture
hnpinq
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98ee35c verified 12 months ago
  • backbone_quantized
    Add files using upload-large-folder tool 12 months ago
  • scheduler
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  • text_encoder
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  • tokenizer
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  • tokenizer_2
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  • vae
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  • .gitattributes
    1.52 kB
    initial commit 12 months ago
  • README.md
    2.84 kB
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  • model_index.json
    649 Bytes
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  • smash_config.json
    969 Bytes
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