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Ailyth
/
Toro_cat

Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Diffusers

    How to use Ailyth/Toro_cat with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Ailyth/Toro_cat", 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
  • Local Apps
  • Draw Things
  • DiffusionBee
Toro_cat
7.3 GB
Ctrl+K
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  • 1 contributor
History: 20 commits
Ailyth's picture
Ailyth
Upload Naration-test.zip
65fba2c verified over 1 year ago
  • feature_extractor
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  • scheduler
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  • text_encoder
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  • tokenizer
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  • unet
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  • .gitattributes
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  • Naration-test.pth

    Detected Pickle imports (3)

    • "torch.HalfStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

    What is a pickle import?

    55.2 MB
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  • Naration-test.zip

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    89.7 MB
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  • README.md
    748 Bytes
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  • added_IVF501_Flat_nprobe_1_Naration-test_v2.index
    61.7 MB
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  • config.json
    1.71 kB
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  • model_index.json
    385 Bytes
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  • toroneko.ckpt
    2.61 GB
    xet
    Upload the concept toro embeds and token over 3 years ago