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Victor Kuznetsov
c858006e93
The auto backend now resolves best-first: LaMa (highest quality, recovers the textured/structured backgrounds the classical fill smears) > MI-GAN > cv2. Both learned backends share the same onnxruntime availability check, so auto cannot tell them apart and always prefers the better one; a memory-tight deployment that cannot afford LaMa's ~4.7 GB peak pins MI-GAN explicitly via `--backend migan` / `backend="migan"` (the deployment's call, not the library's). cv2 stays the no-deps floor and now emits a one-time quality warning when auto falls back to it, since it smears texture/structure. Motivated by a v0.12.1 reverse-alpha vs 0.14 localize->fill head-to-head: reverse-alpha recovered structured backgrounds more cleanly than any inpaint; LaMa closes most of that gap, MI-GAN can ghost/hallucinate, cv2 is weakest. doubao/jimeng removal is identical between versions; gemini strict coverage is 4pp lower (all recovered via assume_ai) with cleaner clearance and no outside-box damage. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>