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Merge branch 'main' of https://huggingface.co/stabilityai/control-lora into main

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README.md CHANGED
@@ -23,11 +23,13 @@ Each Control-LoRA has been trained on a diverse range of image concepts and aspe
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  ### MiDaS and ClipDrop Depth
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  ![canny](samples/depth-sample.jpeg)
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  Depth estimation is an image processing technique that determines the distance of objects in a scene, providing a depth map that highlights variations in proximity.
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- The Control-LoRA utilizes a grayscale depth map for guided generation.
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- In the example above, we compare the depth results of `MiDaS dpt_beit_large_512` and the `Portrait Depth Estimation` (available in the [ClipDrop API by Stability AI](https://clipdrop.co/apis/docs/portrait-depth-estimation)).
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  ### Canny Edge
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  ![canny](samples/canny-sample.jpeg)
 
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  ### MiDaS and ClipDrop Depth
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  ![canny](samples/depth-sample.jpeg)
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+ This Control-LoRA utilizes a grayscale depth map for guided generation.
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+
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  Depth estimation is an image processing technique that determines the distance of objects in a scene, providing a depth map that highlights variations in proximity.
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+ The model was trained on the depth results of `MiDaS dpt_beit_large_512`.
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+ It was further finetuned on the `Portrait Depth Estimation` model available in the [ClipDrop API by Stability AI](https://clipdrop.co/apis/docs/portrait-depth-estimation).
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  ### Canny Edge
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  ![canny](samples/canny-sample.jpeg)
control-LoRAs-rank128/{control-lora-recolor-rank128safetensors → control-lora-recolor-rank128.safetensors} RENAMED
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