photo-enhance: full AI pipeline with scene-adaptive enhancement

Complete overhaul of the ComfyUI photo enhancement stack:

Pipeline (workflows/photo-enhance.json):
- Real-ESRGAN realesr-general-x4v3: 4x upscale at full 4K input (no pre-downscale,
  preserves all original detail before AI sees it), output scaled back to 4K
- CodeFormer fidelity=0.7: GPU neural face detection + restoration
- CLIP ViT-B/32: zero-shot scene classification (portrait/landscape/night/
  indoor/golden_hour/overcast/beach/street)
- AdaptivePhotoGrade: scene-tuned exposure/contrast/saturation/detail using
  guided-filter clarity enhancement; simple linear exposure shift (replaces
  Reinhard tonemapping which was darkening already-exposed Fuji photos)
- SkyEnhance: HSV sky mask (blue sky + clouds + sunset) with spatial prior,
  graduated exposure and saturation boost for sky regions
- DepthSelectiveSharpen: Depth Anything V2 Small depth map → foreground
  sharpening, background softening
- WritePhotoMetadata: writes per-photo JSON to ComfyUI output dir

smart_photo_node.py: implements all 5 new ComfyUI custom nodes

photo-enhance.rb:
- Downloads per-photo metadata JSON from ComfyUI and renders it as a
  human-readable _e.md report alongside each enhanced JPEG
- inject_input now also patches WritePhotoMetadata with prefix + source filename
- Updated pipeline description in header comments

photo-compare.rb: GTK4 side-by-side comparison GUI — show original vs
enhanced, keyboard shortcuts O/E to move preferred version to outdir,
Space to skip, auto-rescans as new photos arrive

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

1 files changed, 1 insertions, 0 deletions

diff --git a/Gemfile b/Gemfile
index a1bbd94..b94602f 100644
--- a/Gemfile
+++ b/Gemfile
@@ -1,3 +1,4 @@
 source "https://rubygems.org"
 
 gem "toml-rb", "~> 2.2"
+gem "gtk4"