Building a training dataset: pulling and restoring stills from video sources

I was looking for a tool to help me train a character lora from an old movie (think 1980's low-budget movie). The digital transfer was low-quality; modern upscales exist and they are horrible. So I wanted a tool that would automatically detect scenes, find a handful of the sharpest frames in those scenes, pull them and reconstruct them into something usable for training a LoRA. The source was really low quality, so just using ffmpeg was not an option. I wanted something using temporal super-resolution frame reconstruction; that was SeedVR. A tool like that didn't exist, so I built it with the help Claude (here's your AI usage disclaimer). Uses SeedVR and its venv for the restoration part, otherwise extremely lightweight. Supports segments. Tested on SeedVR 7B (fp8). Lots of options, but basic usage is just "extract run mymovie.mp4". Essentially, what it does is: scans the video (or just one or more segments, e.g. --segment 1:32 1:36), detects scenes, finds a few sharpest frames in each scene (how many is up to you), then invokes SeedVR to do the temporal restoration part on those frames, everything and the gallery saved in a sub-folder relative to the original video. I did what I was aiming for, extracting that character, but I feel the tool can be of value to those with similar goals, so there it is. submitted by /u/aoleg77 [link] [comments]

Source: r/StableDiffusion | 2026-07-28