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dyamagishi
/
output

Text-to-Image
Diffusers
Safetensors
stable-diffusion-xl
stable-diffusion-xl-diffusers
controlnet
diffusers-training
Model card Files Files and versions
xet
Community

Instructions to use dyamagishi/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Diffusers

    How to use dyamagishi/output with Diffusers:

    pip install -U diffusers transformers accelerate
    from diffusers import ControlNetModel, StableDiffusionControlNetPipeline
    
    controlnet = ControlNetModel.from_pretrained("dyamagishi/output")
    pipe = StableDiffusionControlNetPipeline.from_pretrained(
    	"cagliostrolab/animagine-xl-3.1", controlnet=controlnet
    )
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Draw Things
  • DiffusionBee
output
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
dyamagishi's picture
dyamagishi
End of training
fae7d82 verified almost 2 years ago
  • checkpoint-11000
    End of training almost 2 years ago
  • checkpoint-12000
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  • checkpoint-13000
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  • checkpoint-14000
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  • checkpoint-15000
    End of training almost 2 years ago
  • .gitattributes
    1.62 kB
    End of training almost 2 years ago
  • README.md
    1.25 kB
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  • config.json
    1.28 kB
    End of training almost 2 years ago
  • diffusion_pytorch_model.safetensors
    5 GB
    xet
    End of training almost 2 years ago
  • image_control.png
    1.23 MB
    xet
    End of training almost 2 years ago
  • images_0.png
    6.42 MB
    xet
    End of training almost 2 years ago