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I’ve been training some LoRAs of architecture with SDXL model base until I found the one I wanted, specifically my own architectural style, and it works perfectly with Canny. I wanted to use it with Canny + semantic segmentation, but when I went to look for the model, I saw that there isn’t any for SDXL only for SD1.5, or I can’t find any semantic segmentation models for SDXL ControlNet with the ADE20K color system. Does it exist? What other option do I have?.
My idea is to control the silhouette with Canny, depth with depth mapping, and with segmentation, identify walls, water, vegetation, etc.
I really don´t want to train an SD1.5 model and lose quality just to use segmentation. Thanks.Best regards.
Jesus.
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Thank you for the response. Yes, the SDXL Canny works great. For standard, normal camera, architectural visualization-style images, 3 out of 5 pictures are almost perfect. However, I encounter problems with aerial views; sometimes, swimming pools appear on the solarium or roof of the villas, which is amusing. Therefore, I need some form of semantic control in addition to Canny for those views. It also has to be simple enough so I can implement it into an app that can be accessed via API. This way, the architects and technical department can simply input a reference and receive a batch of images without having to use prompts.
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