minimax h3 video refining

Looking for the best way to restore/refine quality of an AI-generated 720p video to 2K I’m looking for advice on the best ComfyUI workflow for improving the quality of an AI-generated video. My workflow currently is: Krea 2 (2K image) → MiniMax H3 → 720p video The original Krea 2 image is 2K and has a lot of detail, but H3 outputs the video at 720p, so I’m trying to recover/refine as much detail and image quality as possible when producing the final 2K video. My current idea is: 720p H3 video → SeedVR2 7B → 1440p/2K → Krea 2 Raw with low denoise I already have: SeedVR2 7B INT8 ConvRot SeedVR2 FP16 VAE Krea 2 Raw Krea 2 Turbo My GPU is an RTX 3060 Ti 8GB, so VRAM is a major limitation. I’m willing to sacrifice speed for quality. What I’m mainly looking for is: Better recovery of fine details from the 720p video Keeping the original Krea 2 character/face appearance as consistent as possible Good temporal consistency with minimal flickering Avoiding the video becoming overly sharpened or looking artificially generated Ideally getting a final 1440p/2K video Using the original 2K Krea image as a reference if that would help Is SeedVR2 7B currently a good choice for this, or are there better video restoration/upscaling workflows or models I should consider? Also, would adding Krea 2 Raw at low denoise after SeedVR2 actually improve the result, or is there a better way to use the original Krea 2 image as a reference without introducing frame-to-frame inconsistencies? I’m specifically interested in ComfyUI workflows/nodes and practical settings for an 8GB GPU. Any recommendations or example workflows would be greatly appreciated. submitted by /u/ashendonep [link] [comments]

Source: r/StableDiffusion | 2026-09-23

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