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showlab
/
show-o

Any-to-Any
Diffusers
Safetensors
model_hub_mixin
pytorch_model_hub_mixin
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xet
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Instructions to use showlab/show-o with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use showlab/show-o with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("showlab/show-o", 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

This model has been pushed to the Hub using the PytorchModelHubMixin integration.

  • Library: https://github.com/showlab/Show-o
  • Paper: Show-o2: Improved Native Unified Multimodal Models
  • Arxiv: https://arxiv.org/abs/2408.12528v2
  • Docs: [More Information Needed]
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Papers for showlab/show-o

Show-o2: Improved Native Unified Multimodal Models

Paper β€’ 2506.15564 β€’ Published Jun 18, 2025 β€’ 30

Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Paper β€’ 2408.12528 β€’ Published Aug 22, 2024 β€’ 51
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