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End of training

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  1. .gitattributes +2 -0
  2. README.md +22 -0
  3. checkpoint-1000/controlnet/config.json +50 -0
  4. checkpoint-1000/controlnet/diffusion_pytorch_model.bin +3 -0
  5. checkpoint-1000/optimizer.bin +3 -0
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  7. checkpoint-1000/scaler.pt +3 -0
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  9. checkpoint-1500/controlnet/config.json +50 -0
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  15. checkpoint-2000/controlnet/config.json +50 -0
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  21. checkpoint-2500/controlnet/config.json +50 -0
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  27. checkpoint-3000/controlnet/config.json +50 -0
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  33. checkpoint-3500/controlnet/config.json +50 -0
  34. checkpoint-3500/controlnet/diffusion_pytorch_model.bin +3 -0
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  39. checkpoint-4000/controlnet/config.json +50 -0
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  45. checkpoint-4500/controlnet/config.json +50 -0
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.gitattributes CHANGED
@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+
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+ ---
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+ license: creativeml-openrail-m
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+ base_model: runwayml/stable-diffusion-v1-5
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+ tags:
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+ - stable-diffusion
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+ - stable-diffusion-diffusers
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+ - text-to-image
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+ - diffusers
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+ - controlnet
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+ inference: true
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+ ---
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+
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+ # controlnet-jiaqixuac/controlnet_training
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+
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+ These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.
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+ You can find some example images below.
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+ prompt: red circle with blue background
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+ ![images_0)](./images_0.png)
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+ prompt: cyan circle with brown floral background
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+ ![images_1)](./images_1.png)
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+
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