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End of training

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  1. .gitattributes +2 -0
  2. README.md +22 -0
  3. checkpoint-12500/controlnet/config.json +56 -0
  4. checkpoint-12500/controlnet/diffusion_pytorch_model.safetensors +3 -0
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  9. checkpoint-13000/controlnet/config.json +56 -0
  10. checkpoint-13000/controlnet/diffusion_pytorch_model.safetensors +3 -0
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  33. checkpoint-15000/controlnet/config.json +56 -0
  34. checkpoint-15000/controlnet/diffusion_pytorch_model.safetensors +3 -0
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  39. config.json +56 -0
  40. diffusion_pytorch_model.safetensors +3 -0
  41. image_control.png +0 -0
  42. images_0.png +3 -0
  43. images_1.png +3 -0
.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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  *.zst 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: openrail++
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+ base_model: stabilityai/stable-diffusion-xl-base-1.0
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+ tags:
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+ - stable-diffusion-xl
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+ - stable-diffusion-xl-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-QFun/checkpoint_Sign
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+
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+ These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning.
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+ You can find some example images below.
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+ prompt:
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+ ![images_0)](./images_0.png)
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+ prompt:
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+ ![images_1)](./images_1.png)
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+
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