All links to models are on a note in the workflow PiD reformulates the latent-to-pixel decoder as a conditional pixel-space diffusion model, unifying decoding and upsampling into a single generative module. It denoises directly in high-resolution pixel space and produces a super-resolved image in one pass. This workflow takes an Ideogram 4 generations latent from 512x512&gt;2048x2048/1024x1024&gt;4096x4096 or 16:9, 4:3, 3:4 aspect ratios.

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