<h1 id="v1.2">v1.2</h1>Big update for Pixel Anchored Remaster.<h3 id="what-changed-in-v1.2">What changed in v1.2</h3>The main improvement is that HiRes Fix now feeds directly into the final Pixel Anchored Remaster pass instead of treating them more separately. This ended up being a huge quality improvement and is basically the core reason v1.2 is better.<h3 id="main-v1.2-changes">Main v1.2 changes</h3><ul><li>HiRes Fix output now becomes the input for the main Pixel Anchored Remaster stage</li><li>switched the final latent upscale method from bicubic to bislerp</li><li>increased final remaster denoise to 0.55</li><li>cleaned up and reorganized the workflow</li></ul><h3 id="what-the-workflow-is-doing">What the workflow is doing</h3>This is not a traditional upscaler and it is not meant to perfectly preserve every detail.The goal is:controlled drift for better final outputThe workflow works best as a creative remaster pipeline:<ul><li>start with a good original image</li><li>improve it with HiRes Fix</li><li>then run it through the final Pixel Anchored Remaster stage</li><li>accept some drift if the overall vibe, composition, and subject stay intact and the final image looks better</li></ul><h3 id="compatibility-testing-so-far">Compatibility testing so far</h3>v1.2 seems to work well with refined SDXL / Illustrious / Pony-family checkpoints, with some model-specific tweaking.<h3 id="good-results-with:">Good results with:</h3><ul><li>WonderMix v16</li><li>WAI Illustrious</li><li>some Pony-derived checkpoints</li><li>some realistic refined checkpoints</li></ul><h3 id="less-successful-with:">Less successful with:</h3><ul><li>base Illustrious</li><li>base Pony v6</li><li>Anima (anything that uses 16 point latents)</li></ul>So far the pattern seems to be:If a model can make a strong original image, the HiRes Fix + Pixel Anchored Remaster pipeline will usually improve it, sometimes significantly.<h3 id="important-note">Important note</h3>This workflow is better thought of as a remaster than an upscale. If you want strict preservation, this may not be the right tool. If you want the same image idea/vibe but cleaner, more detailed, and more polished, this is where it shines.<h1 id="v1.1">v1.1</h1>Based on community feedback regarding background softening, v1.1 introduces key mathematical refinements to the pixel-anchor stage to dramatically improve architectural crispness, background preservation, and edge definition—while keeping the main subject completely perfect.<h3 id="what-changed-under-the-hood:">🛠️ What Changed under the Hood:</h3><ul><li>Resize Interpolation: <code>area</code> ➔ <code>lanczos</code> (Restores sharp geometric lines and window leading)</li><li>Upscale Method: <code>bilinear</code> ➔ <code>bicubic</code> (Cleaner pixel-space translation before the latent pass)</li><li>Remaster KSampler CFG: <code>3</code> ➔ <code>4</code> (Tighter prompt and structural adherence)</li><li>Remaster KSampler Denoise: <code>0.55</code> ➔ <code>0.50</code> (Slightly lower denoise to anchor original details while preventing hallucinations)</li></ul><h3 id="note-on-nsfw-content">⚠️ Note on NSFW Content</h3>Because this is a hybrid remaster method that relies on a second KSampler re-imagining details over a pixel foundation, it can still occasionally struggle with explicit NSFW anatomy or specific interactions. If things look a bit weird or muffled, try slightly lowering the Remaster KSampler denoise (down to <code>0.45</code> or <code>0.48</code>) to keep closer to the original structural layout! <h1 id="v1-pixel-anchored-remaster-vs.-hires-fix:-the-ultimate-comparison-canvas">v1 🔍 Pixel-Anchored Remaster vs. Hires Fix: The Ultimate Comparison Canvas</h1>Ever wondered exactly how your upscaling methods stack up side-by-side? This is a clean, organized comparison tool designed to test three distinct upscaling philosophies simultaneously from a single master seed.Instead of running separate generations and guessing which one looks better, this workflow generates your base image once and instantly branches out to give you a definitive visual shootout.<h3 id="the-3-way-shootout-branches:">🎛️ The 3-Way Shootout Branches:</h3>1. Raw Pixel 2x: A baseline upscale utilizing the standard model loader <code>2xAoMR_mosr.pth</code>) to show the raw, un-denoised upscaled foundation.2. Standard Hires Fix: The classic latent-space enhancement method utilizing VAE Encode/Decode passes to introduce fresh detail.3. Pixel-Anchored Remaster: An advanced approach that anchors downscaling/area-mapping metrics before the final latent pass to preserve prompt fidelity while significantly modernizing details.<h3 id="key-features:">🌟 Key Features:</h3>* Fully Bundled &amp; Grouped: Clean bounding boxes ("Settings", "Original Image", "Hires Fix", etc.) make the board incredibly easy to navigate.* Shared Seed Link: A single master Seed Primitive controls both generation KSamplers so your comparisons remain perfectly synchronized.* Massive Preview Fields: Pre-arranged, massive preview blocks make it easy to inspect fine details (like eyes, textures, and lineart) right inside ComfyUI without needing an external image viewer.<h3 id="requirements-and-notes:">🛠️ Requirements &amp; Notes:</h3>Built on *ComfyUI Core** nodes for maximum compatibility.Uses native *SDXL** parameters (1024x1024 base resolution).* Requires an upscale model loader (configured for <code>2xAoMR_mosr</code> by default, but swappable with your favorite ESRGAN/DAT model).Feel free to leave a review or drop your comparison grids below! If you enjoy the template, keep an eye out for the streamlined, single-output production version coming soon.

Pixel Anchored Remaster

🚀 Version 1.1 Update NotesBased on community feedback regarding background softening, v1.1 introduces key mathematical refinements to the pixel-anchor stage to dramatically improve architectural crispness, background preservation, and edge definition—while keeping the main subject completely perfect.🛠️ What Changed under the Hood:<ul><li>Resize Interpolation: <code>area</code> ➔ <code>lanczos</code> (Restores sharp geometric lines and window leading)</li><li>Upscale Method: <code>bilinear</code> ➔ <code>bicubic</code> (Cleaner pixel-space translation before the latent pass)</li><li>Remaster KSampler CFG: <code>3</code> ➔ <code>4</code> (Tighter prompt and structural adherence)</li><li>Remaster KSampler Denoise: <code>0.55</code> ➔ <code>0.50</code> (Slightly lower denoise to anchor original details while preventing hallucinations)</li></ul>

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