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@@ -22,6 +22,18 @@ Design spec: `docs/superpowers/specs/2026-10-30-upscale-qt-design.md`.
--image <in> -p <prompt>`. Its answer is free text and gets matched to a
filename from the upscalers dir; never trust it as a path.
- Both run through `QProcess` so the UI never blocks.
+- `sd-cli` loads ESRGAN (RRDBNet) and MoSR models only, detected from the
+ weights. SwinIR, HAT, DAT, SPAN, Compact and face restorers do not load.
+- Model choice, measured on 4x crops of a clean portrait, a landscape and a
+ noisy 2009 phone JPEG: the 4x foolhardy model is best on clean photos
+ (people and nature), `RealESRGAN_x4plus` on noisy or compressed sources
+ (smooth, slightly waxy skin), `RealESRGAN_x4plus_anime_6B` for anime and
+ art only. Rejected after testing: 4xNomos2_hq_mosr (amplifies JPEG
+ blocks), 4xNomos8kSC (artifacts on noisy input), 4xLSDIRplusR (plastic
+ on clean input), 4xLSDIRplusC (close to the foolhardy model, not better).
+- Timing: an RRDBNet model takes about 25 s per megapixel of input, so a
+ 10 MP photo takes about 4 minutes and outputs a 160 MP image. imajev
+ answers in about 7 s.
## Conventions