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JoPmt
/
kandinsky-2-2-decoder

Diffusers
Safetensors
KandinskyV22Pipeline
Model card Files Files and versions
xet

Instructions to use JoPmt/kandinsky-2-2-decoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use JoPmt/kandinsky-2-2-decoder with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("JoPmt/kandinsky-2-2-decoder", 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
kandinsky-2-2-decoder
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  • 1 contributor
History: 2 commits
JoPmt's picture
JoPmt
Upload KandinskyV22Pipeline
5dd34e9 verified over 2 years ago
  • movq
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  • scheduler
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  • .gitattributes
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    initial commit over 2 years ago
  • model_index.json
    310 Bytes
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