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Second round of user-feedback contrast reduction (still a bit high after -0.10):
landscape/golden_hour/overcast/street 1.10→1.05
indoor/beach/default 1.05→1.00 (portrait/night already at 1.00)
Retrospective fix applied to 26 existing _e.jpg photos via:
magick -function polynomial 0.9545,0.02275
(equivalent to undoing 1.10 and re-applying 1.05 around the 0.5 midpoint)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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User feedback: contrast was too high on enhanced photos (~1.20 felt heavy).
Reduced all PROFILES contrast values by 0.10 (floor 1.00):
portrait 1.10→1.00, landscape 1.20→1.10, night 1.05→1.00,
indoor 1.15→1.05, golden_hour 1.20→1.10, overcast 1.20→1.10,
beach 1.15→1.05, street 1.20→1.10, default 1.15→1.05
Retrospective fix applied to 25 existing _e.jpg photos via:
magick -function polynomial 0.9167,0.04167
(equivalent to undoing 1.20 and re-applying 1.10 around the 0.5 midpoint)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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Two runtime fixes discovered during testing:
1. CodeFormerRestore stub: CodeFormer custom node (comfyui-reactor-node)
is not installed on fresh VMs. Added a passthrough stub in smart_photo_node.py
that keeps the workflow intact while allowing the other stages to work.
Registered last so the real node from a separately installed package
takes priority if present.
2. Guided filter fallback: cv2.ximgproc.guidedFilter requires opencv-contrib
(opencv-contrib-python-headless). Added a try/except in _apply_detail that
falls back to cv2.bilateralFilter when ximgproc is unavailable. The contrib
package was also installed on the VM for full quality.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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grading
Addresses all five priority improvements from photo-enhance-review.md:
1. Conditional ESRGAN (ConditionalESRGANBlend node): portrait and night
scenes skip Real-ESRGAN entirely; indoor/golden_hour use a reduced
blend (0.25–0.60); landscape/beach keep full strength. Confidence-
weighted ratios from CLIP scores soften hard scene-boundary transitions.
2. Blended CLIP scene profiles: CLIPSceneDetect now outputs top-3 scene
scores as a normalised JSON string. AdaptivePhotoGrade blends the
matching grading profiles weighted by confidence instead of hard-
switching on the argmax label — a 55/35/10 landscape/golden_hour/overcast
split produces a weighted average of those three profiles.
3. Conservative depth defaults: DepthSelectiveSharpen background_blur
changed from 0.50 to 0.0 (disabled by default). Foreground sharpening
is kept; background blur can be re-enabled explicitly per shot.
4. EXIF/ICC preservation: copy_exif() in photo-enhance.rb uses exiftool
to restore capture time, camera/lens info, GPS, and ICC profile from
the source file onto the enhanced JPEG after ComfyUI strips metadata.
Embedded thumbnail/preview are excluded to avoid showing the old image.
5. Provenance logging: prompt_id is now passed into the metadata markdown
report. WritePhotoMetadata emits scene_scores and esrgan_mode into the
JSON sidecar. The markdown report now shows top-3 scene confidences,
ESRGAN mode, and ComfyUI prompt ID for reproducibility.
Workflow restructured: CLIPSceneDetect now runs on the original image
(before ESRGAN) so scene scores are available to gate the upscaler.
ConditionalESRGANBlend (node 16) inserted between ESRGAN downscale and
CodeFormer. All downstream nodes receive scene_scores via node 11 outputs.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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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>
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