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52, "type": "VAEDecode", "pos": [ 4438.488874325997, 448.3297908054907 ], "size": { "0": 210, "1": 46 }, "flags": {}, "order": 53, "mode": 0, "inputs": [ { "name": "samples", "type": "LATENT", "link": 99 }, { "name": "vae", "type": "VAE", "link": 101, "slot_index": 1 } ], "outputs": [ { "name": "IMAGE", "type": "IMAGE", "links": [ 100 ], "shape": 3, "slot_index": 0 } ], "properties": { "Node name for S&R": "VAEDecode" } }, { "id": 53, "type": "PreviewImage", "pos": [ 4432.488874325997, 570.3297908054903 ], "size": { "0": 1109.0472412109375, "1": 892.050048828125 }, "flags": {}, "order": 56, "mode": 0, "inputs": [ { "name": "images", "type": "IMAGE", "link": 100 } ], "title": "Differences are in the details", "properties": { "Node name for S&R": "PreviewImage" } }, { "id": 59, "type": "Note", "pos": [ 4158, 1727 ], "size": { "0": 483.2784118652344, "1": 941.452880859375 }, "flags": {}, "order": 2, "mode": 0, "properties": { "text": "" }, "widgets_values": [ "In this area, we show the step by step mixing process. The leftmost batch is the noised \"z_primes\" which were made from the original upscaled latent. The middle batch is the intermediate de-noised latents at each step. And the third batch is the final resulting sequence of de-noised latents, mixing the z_primes with the intermediates according to the blending schedule.\n\nBelow, we show the differences between the z_primes and each of the intermediates and the outputs. As you can see, the differences are mostly random at first, but as de-noising progresses, the differences are reduced, which makes sense because we are hopefully guiding diffusion to a similarly structured output image." ], "color": "#432", "bgcolor": "#653" }, { "id": 60, "type": "Note", "pos": [ 5440.488874325997, 541.3297908054903 ], "size": { "0": 483.2784118652344, "1": 941.452880859375 }, "flags": {}, "order": 3, "mode": 0, "properties": { "text": "" }, "widgets_values": [ "This final image shows the difference between the iteratively mixed upscale and the simple upscale (no iterative mixing). Notice how the differences tend to be in high frequency areas like the edges of things. This suggests that the mixing process is changing details of the image that might have been lower frequency in the upscale that used just a pure KSampler.\n\nThe mixing process focuses on higher frequency areas of the image because it is guided by the noised latent batch, z_prime." ], "color": "#432", "bgcolor": "#653" }, { "id": 10, "type": "LatentUpscaleBy", "pos": [ 1845, 286 ], "size": { "0": 210, "1": 82 }, "flags": {}, "order": 18, "mode": 0, "inputs": [ { "name": "samples", "type": "LATENT", "link": 20 } ], "outputs": [ { "name": "LATENT", "type": "LATENT", "links": [ 21, 40, 55, 125, 127 ], "shape": 3, "slot_index": 0 } ], "properties": { "Node name for S&R": "LatentUpscaleBy" }, "widgets_values": [ "bicubic", 2 ] }, { "id": 64, "type": "Note", "pos": [ 5440, -710 ], "size": { "0": 483.2784118652344, "1": 941.452880859375 }, "flags": {}, "order": 4, "mode": 0, "properties": { "text": "" }, "widgets_values": [ "Here we show the details added by the mixing process in comparison 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