Revert this session's changes back to the last known-good version

Refuse a head swap when the two heads face different ways, and say so

Stop the seam blend from erasing the head swap

Add a workflow PDF, and stop git rewriting line endings inside binaries

Make glasses transfer opt-in — it was disfiguring glasses-wearing sources

Fix the empty hair matte, and stop pasting hair when HairFastGAN is unavailable

Run swaps as background jobs, and add a Head Swap toggle to the app page

Super-resolve the head only, which makes real SR affordable on CPU

Keep the original photo's background instead of downscaling and interpolating it

Confine scene grain to the parsed head instead of a box around it

Fix Control Panel Google sign-in inside the Hugging Face iframe

Turn Flask debug OFF by default and pre-warm models without blocking startup

Fix scene-harmonisation regressions: quality scores, skin-tone reversal, long-hair gap

Add scene-harmonisation final pass: match the photo's grain + colour cast over the swapped head so the GAN-smooth face/hair stop looking synthetic/pasted and read as photographed with the scene

Hair robustness (100-img batch): lighting match only DARKENS hair (no grey wash on bright bg) + conservative grey-edge trim that won't cut lit/highlighted hair

Fix facial discolour patches: restrict the neck/body skin pass to strictly below the chin (it was recolouring lips + cheek-ring -> patches on the face)

Hair edge: soft strand edge for both paths (loosen clamp) + remove portrait grey crown by COLOUR not cropping -> no website grey line AND no hard cut-out, local/HF identical

Fix website grey hair line: raise scene-fill threshold + clamp matte to confident-hair extent (kills the faint grey crown haze); drop guided filter for local/HF parity (no ximgproc on HF)

Hair/forehead high-precision edge via guided filter (edge-aware matte) + gentle neck/body skin pass; opencv-contrib-headless on HF for ximgproc

Hair edge: composite with BiSeNet SOFTMAX hair matte (soft strand alpha) instead of a feathered binary mask -> real wispy hair edges, no cut-paste look, both genders

Hair edge: smoother feather (0.025) for natural soft edges both genders, no hard cut-off; gentler lighting keeps it grey-free

Hair edge: crisper feather + erode-to-solid + gentler lighting match -> natural hairline, no grey fringe on dark hair

Hair blend: fill portrait grey padding with the scene before feathering (kills the blurry pasted halo) + tighter edge feather -> natural hair edges

Hair swap: run Laplacian blend BEFORE hair (it was overwriting transferred hair with target's); opaque core + soft edge + recolour residual old hair for a seamless blend, both genders

Skin tone: single uniform LAB offset over whole skin (no gate/per-region) -> no patches; verified clean across 10 tones light-to-dark, strength 0.92

Skin tone: recolour face-skin + body to SOURCE complexion (sampled from clean parsed skin, lips/eyes excluded, relative luminance gate) — clean on normal faces

Skin tone: leave face untouched (swap already source-toned), only lift neck/arms/hands to match face — fixes blue/blotchy face patch

Move skin-tone match to final pipeline step so the Laplacian blend can't undo it (output skin now matches source across whole body); strength 0.9

Skin tone: drive face+neck+body to SOURCE complexion (per-region delta), with luminance gate so beard/brows don't go blue

Skin tone: blend across whole body (face+neck+arms+hands) via adaptive chroma mask, clothes/background excluded

Fix close-up selfie detection: pad margin so face-fills-frame photos are found (0 faces -> crude paste was the no-hair/skin bug)

Fix hair composite: widen parse crop + region clamp so long hair transfers into scene (re-enable hair by default)

Hair swap back to opt-in: in-scene hair composite loses the hair (verified)

Enable source hair+neck transfer by default (HairFastGAN on GPU, BiSeNet fallback)

Remove percentage from loading bar

Loading bar: motivational admission-nudging messages instead of process steps

Tighten skin-tone match 0.75 -> 0.85 (closer to source; glasses transfer already on)

Redesign loading tab: friendly messages (no internal pipeline jargon) + spinner/percentage

Default to the clean face swap; make head-swap & hair-swap opt-in

Auto de-roll tilted source faces (eye-line alignment) before swap

Add batch QA test harness (scripts/batch_test.py)

Wire HairFastGAN (GPU) into the swap pipeline for realistic hair transfer

GPU: 1536px working res on CUDA + GPU deploy files (Dockerfile.gpu, requirements-gpu.txt)

Enable GPU for InsightFace: auto-add CUDA12 + cuDNN9 DLL dirs on Windows

Swap only the main subject + always run face swap (fixes the mess)

Retry HF push on transient failures (Space busy building)

Resolve all project errors: clean lint, tests, imports

Revert swap-quality regressions: skin 0.92->0.75, glasses face-swap-path only

Fix: list_locations resilient when message column missing (was showing 0)

Custom per-location result messages + unique defaults; remove em-dashes & "4K"