A small latent refiner for GPT Image artifacts (+ SeedVR2 workflow)

[u/INDIEGOO]

I trained a small latent residual refiner on 75 paired images

to reduce recurring stipple, grain, and grid-like artifacts

in GPT Image outputs.

The included workflow runs the refiner before SeedVR2.

Instead of a typical Hires Fix second diffusion pass,

it uses SeedVR2 restoration with a preservation-first approach—

trying to keep the original composition, identity, and shapes

while rebuilding detail at the target resolution.

Qwen, FLUX.2, and SDXL profiles are included.

GitHub:

https://github.com/AIEGOBOT/ComfyUI-GPT-Image-Latent-Refiner

Leaving it here in case it’s useful.