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AINovice2005
/
Sana_600M_ControlNet_HED-smashed

Text-to-Image
Diffusers
Safetensors
Pruna AI
SanaPipeline
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xet
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Instructions to use AINovice2005/Sana_600M_ControlNet_HED-smashed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use AINovice2005/Sana_600M_ControlNet_HED-smashed with Diffusers:

    pip install -U diffusers transformers accelerate
    import torch
    from diffusers import DiffusionPipeline
    
    # switch to "mps" for apple devices
    pipe = DiffusionPipeline.from_pretrained("AINovice2005/Sana_600M_ControlNet_HED-smashed", dtype=torch.bfloat16, device_map="cuda")
    
    prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
    image = pipe(prompt).images[0]
  • Pruna AI

    How to use AINovice2005/Sana_600M_ControlNet_HED-smashed with Pruna AI:

    from pruna import PrunaModel
    pip install -U diffusers transformers accelerate
    from pruna import PrunaModel
    import torch
    # switch to "mps" for apple devices
    pipe = PrunaModel.from_pretrained("AINovice2005/Sana_600M_ControlNet_HED-smashed", 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
Sana_600M_ControlNet_HED-smashed
6.78 GB
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  • 1 contributor
History: 3 commits
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AINovice2005
Update README.md
e874c44 verified 10 months ago
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