BacoHubo

BacoHubo / ComfyUI_SeedVR2_Tiler

Public

Tile Splitter and Stitcher nodes for SeedVR2 upscaling in ComfyUI

19
3
100% credibility
Found Mar 02, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Custom nodes for ComfyUI that split large images into overlapping tiles for upscaling with SeedVR2 and then stitch them back into a single seamless high-resolution image.

How It Works

1
🖼️ You have a big image to upscale

You start with a large picture that you want to make sharper and much bigger, but your computer's memory can't handle it all at once.

2
🔍 Discover the Tiler tool

In your image editing workspace, you find this helpful add-on called SeedVR2 Tiler that splits big images into smaller pieces for easy processing.

3
📥 Add it to your workspace

You simply install it using the built-in manager or by placing the files in the right folder—no extra software needed.

4
✨ Split your image into tiles

Load your picture, pick a tile size that fits your computer, set the upscale goal and overlap, and it automatically cuts it into perfect overlapping pieces.

5
🚀 Upscale each tile

Send the pieces through the SeedVR2 upscaler, which makes each one bigger and clearer without overwhelming your computer.

6
🧩 Stitch the pieces together

Feed the upscaled pieces into the stitcher, which blends the overlaps smoothly to recreate one seamless giant image.

🎉 Get your huge sharp image

You now have a beautifully upscaled, high-resolution picture ready to use, print, or share, all without crashes or seams.

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AI-Generated Review

What is ComfyUI_SeedVR2_Tiler?

This Python node pack for ComfyUI turns SeedVR2 into a tile splitter tool for upscaling massive images beyond VRAM limits. Feed in any size image—like a high-res screenshot or tile sheet—and it chops it into overlapping batches sized for SeedVR2 (e.g., 1MP tiles on 8GB GPUs), then stitches the upscaled results with feather-blended seams for seamless outputs. Variants let you target outputs by megapixels, edge length, or upscale factor, all via simple ComfyUI workflows.

Why is it gaining traction?

Unlike basic image tile splitters, it auto-computes optimal grids for uniform tiles, precise resolution hints, and aspect-preserving resizes, dodging common seams or distortions in ComfyUI upscaling chains. Multi-pass support chains outputs back for progressive scaling, and zero extra deps mean drop-in install via Manager. Devs dig the printed diagnostics for tile counts, overlaps, and scales, making VRAM tuning straightforward on CUDA setups.

Who should use this?

ComfyUI workflows builders tackling large image upscales with SeedVR2, like AI artists restoring old photos to 4K+ or generating tile sheets for games. Perfect for folks on 8GB GPUs hitting OOM errors, or anyone chaining upscalers in multi-pass pipelines without manual tiling hacks.

Verdict

Grab it if SeedVR2 is your go-to—19 stars and 1.0% credibility signal early days with thin testing, but crisp docs and community-inspired design make it reliable for niche use. Test on small images first; scales well but watch for edge cases on odd aspects.

(187 words)

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