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Runware
/
Kandinsky-5.0-T2I-Lite-sft-Diffusers

Text-to-Image
Diffusers
Safetensors
Kandinsky5T2IPipeline
Model card Files Files and versions
xet
Community

Instructions to use Runware/Kandinsky-5.0-T2I-Lite-sft-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use Runware/Kandinsky-5.0-T2I-Lite-sft-Diffusers with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("Runware/Kandinsky-5.0-T2I-Lite-sft-Diffusers", 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
Kandinsky-5.0-T2I-Lite-sft-Diffusers / text_encoder_2
6.84 GB
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  • 1 contributor
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Washakh
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  • .gitattributes
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  • README.md
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  • config.json
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  • flax_model.msgpack
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  • model.safetensors

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  • preprocessor_config.json
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  • pytorch_model.bin

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    • "torch.FloatStorage",
    • "torch.LongStorage",
    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2"

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  • tf_model.h5
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