A user on Reddit has developed a small latent refiner model designed to address specific artifacts, such as stippling and grid-like textures, commonly observed in outputs from GPT Image. This refiner was trained using 75 paired images and includes profiles for various VAEs like Qwen, FLUX.2, and SDXL. The user also provided a ComfyUI workflow that integrates this refiner with SeedVR2 for a subtle yet effective improvement in image quality, aiming to preserve original composition while cleaning textures and rebuilding detail. AI
IMPACT Offers a potential solution for users encountering specific visual artifacts in AI-generated images, improving output quality.
RANK_REASON User-developed tool for improving output of another AI model.
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