From the title, I expected this to be basically pairing stable diffusion with an image captioning algorithm by 'compressing' the image to a simple human readabl

From the title, I expected this to be basically pairing stable diffusion with an image captioning algorithm by 'compressing' the image to a simple human readable description, and then regenerating a comparable image from the text. I imagine that would work and be possible, essentially an autoencoder with a 'latent space' of single short human readable sentences. The way this actually works is pretty impressive. I wonder if it could be made lossless or less lossy in a similar manner to FLAC and/or video compression algorithms... basically first do the compression, and then add on a correction that converts the result partially or completely into the true image. Essentially, e.g. encoding real images of the most egregiously modified regions of the photo and putting them back over the result.