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Svatai
/
svatai

Text-to-Image
Diffusers
Safetensors
English
SvataiEngine
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Diffusers

    How to use Svatai/svatai with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Svatai/svatai", 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 Settings
  • Draw Things
  • DiffusionBee

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  • scheduler
    Pushing the SVAT AI model to Hugging Face about 2 years ago
  • text_encoder
    Update text_encoder/config.json about 2 years ago
  • text_encoder_2
    Pushing the SVAT AI model to Hugging Face about 2 years ago
  • tokenizer
    Pushing the SVAT AI model to Hugging Face about 2 years ago
  • tokenizer_2
    Pushing the SVAT AI model to Hugging Face about 2 years ago
  • transformer
    Update transformer/config.json about 2 years ago
  • vae
    Pushing the SVAT AI model to Hugging Face about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    1.45 kB
    Update README.md about 2 years ago
  • model_index.json
    638 Bytes
    Update model_index.json about 2 years ago