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The vision model picked the right upscaler about half the time on four
test photos, and llama-mtmd-cli cannot turn its thinking off: greedy
decoding loops, larger budgets cost seconds and still miss. The dropdown
now shows a one-line description per model from an optional models.txt
next to the models, so the choice stays with the user but is readable.
Document usage, model descriptions and how to test.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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Before and after share one transform; before is drawn into after's
rectangle so it is never copied at 4x size. Drag the divider to wipe,
drag elsewhere to pan, wheel zooms around the cursor, double-click fits.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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Four tasks: tested helpers, compare view, main window, end-to-end run and
docs. Feeds sd-cli an EXIF-oriented PNG so rotated photos stay upright.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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Three test images (clean portrait, landscape, noisy phone JPEG) at 4x
picked the foolhardy 4x model for clean photos, RealESRGAN_x4plus for
degraded ones and the anime model for art. The suggestion prompt must
weigh source quality, since imajev chose a detail model for the noisy
photo.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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PyQt6 app that upscales an image with an ESRGAN model through sd-cli,
compares before and after with a slider wipe, and saves the result or
overwrites the original. This commit holds the docs, license and design spec.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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