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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 / unet
5.01 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
JoPmt's picture
JoPmt
Upload KandinskyV22Pipeline
5dd34e9 verified over 2 years ago
  • config.json
    2.02 kB
    Upload KandinskyV22Pipeline over 2 years ago
  • diffusion_pytorch_model.safetensors
    5.01 GB
    xet
    Upload KandinskyV22Pipeline over 2 years ago