Idempotence-and-Perceptual-Image-Compression
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The question about different size images to compress
The 'elic' model could deal with different size of images, because the arch is not sensitive to different size inputs. But diffusion model has a definite input/output size based on pixel level.
The question is how to compress different size images?
Currently the image size is determined by your base diffusion model. This repo use pretrained ADM with image size 256^2. So we can only work with 256^2 image for one pass