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Example videos added through the "Add examples" flow were stored with a hardcoded 720x1280 entry. The dimension probe next to it only ran for images (PIL cannot open .mp4/.webm files), so every video entry stayed portrait regardless of the source. The showcase viewer then sizes its container straight from that value (--media-aspect in showcase.css), so landscape clips were letterboxed inside a 9:16 box. CivitAI-sourced examples were unaffected because their dimensions come from the API. PIL cannot read video containers, so add a dependency-free reader that parses the container headers instead: moov/trak/tkhd for ISO base media (with the sample description as a fallback), Segment/Tracks/Pixel* for WebM/Matroska, and RIFF/WebP for animated examples saved with a video extension. The sniffed signature decides which reader runs, so a .mp4 that is really WebM still reports the right size; the extension is only a fallback. Both readers seek past mdat rather than reading it, so a large file costs the same as a small one. Imported entries now record the file's real size and keep the previous placeholder only when the file cannot be parsed. Existing libraries keep their wrong entries, so backfill them once via the existing naming migration: bump CURRENT_NAMING_VERSION to 3 and repair each model's empty-url entries from the files on disk, then sync the scanner cache. Only entries with no remote url are touched -- those have no other source, which makes the rewrite lossless -- and entries already carrying the right size are left byte-identical, so the pass is idempotent and a no-op for libraries that never imported a video.