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@@ -40,7 +40,6 @@ To evaluate the performance of models, we compiled a test set of more than 200 i
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  | **Kolors-ControlNet-Canny** | **4.06** | **4.64** | **4.45** | **3.52** |
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  **2、Depth**
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  | Model | Average Overall Satisfaction | Average Visual Appeal | Average Text Faithfulness | Average Conditional Controllability |
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  | SDXL-ControlNet-Depth | 3.35 | 3.77 | 4.26 | 4.5 |
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  | **Kolors-ControlNet-Depth** | **4.12** | **4.12** | **4.62** | **4.6** |
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  <img src="compare_demo.png">
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  <font color=gray style="font-size:12px">*The [SDXL-ControlNet-Canny](https://huggingface.co/diffusers/controlnet-canny-sdxl-1.0) and [SDXL-ControlNet-Depth](https://huggingface.co/diffusers/controlnet-depth-sdxl-1.0) load [DreamShaper-XL](https://civitai.com/models/112902?modelVersionId=351306) as backbone model.*</font>
 
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  | **Kolors-ControlNet-Canny** | **4.06** | **4.64** | **4.45** | **3.52** |
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  **2、Depth**
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  | Model | Average Overall Satisfaction | Average Visual Appeal | Average Text Faithfulness | Average Conditional Controllability |
 
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  | SDXL-ControlNet-Depth | 3.35 | 3.77 | 4.26 | 4.5 |
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  | **Kolors-ControlNet-Depth** | **4.12** | **4.12** | **4.62** | **4.6** |
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  <img src="compare_demo.png">
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  <font color=gray style="font-size:12px">*The [SDXL-ControlNet-Canny](https://huggingface.co/diffusers/controlnet-canny-sdxl-1.0) and [SDXL-ControlNet-Depth](https://huggingface.co/diffusers/controlnet-depth-sdxl-1.0) load [DreamShaper-XL](https://civitai.com/models/112902?modelVersionId=351306) as backbone model.*</font>