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@@ -28,7 +28,7 @@ This model transforms HED maps into coral reef style images, and also transforms
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  - This model was trained on coral reef images generated with SDXL, and their associated HED maps, taken with pytorch-hed:
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  [Depth2RobotsV2_Annotations](https://huggingface.co/datasets/Borcherding/Depth2RobotsV2_Annotations)
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  - using CycleGAN architecture
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- - Training notebooks and dataset genertors can be found in the src folder, and can also be found in the github repo !(Leoleojames1/CycleGANControlNet2Anything)[https://github.com/Leoleojames1/CycleGANControlNet2Anything]
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  - It supports bidirectional transformation:
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  - HED map → Coral reef-style imagery
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  - Robot-style imagery → Depth map
 
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  - This model was trained on coral reef images generated with SDXL, and their associated HED maps, taken with pytorch-hed:
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  [Depth2RobotsV2_Annotations](https://huggingface.co/datasets/Borcherding/Depth2RobotsV2_Annotations)
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  - using CycleGAN architecture
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+ - Training notebooks and dataset genertors can be found in the src folder, and can also be found in the github repo !(Ollama-Agent-Roll-Cage/controlnet-2-anything)[https://github.com/Ollama-Agent-Roll-Cage/controlnet-2-anything]
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  - It supports bidirectional transformation:
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  - HED map → Coral reef-style imagery
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  - Robot-style imagery → Depth map