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dataautogpt3
/
ProteusV0.1

Text-to-Image
Diffusers
StableDiffusionXLPipeline
Model card Files Files and versions
xet
Community
2

Instructions to use dataautogpt3/ProteusV0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use dataautogpt3/ProteusV0.1 with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("dataautogpt3/ProteusV0.1", torch_dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed"
    image = pipe(prompt).images[0]
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
ProteusV0.1
20.8 GB
Ctrl+K
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  • 1 contributor
History: 15 commits
dataautogpt3's picture
dataautogpt3
Upload ComfyUI_02652_.png
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  • scheduler
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  • text_encoder
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  • text_encoder_2
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  • tokenizer
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  • tokenizer_2
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  • unet
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  • vae
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  • .gitattributes
    1.8 kB
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  • 00121-2522476933.png
    4.22 MB
    xet
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  • ComfyUI_02614_.png
    1.43 MB
    xet
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  • ComfyUI_02629_.png
    1.2 MB
    xet
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  • ComfyUI_02652_.png
    1.66 MB
    xet
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  • ProteusV0.1.safetensors
    6.94 GB
    xet
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  • README.md
    3.47 kB
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  • model_index.json
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