The hair read blond and thin because the strand sheet's RGB was driving base colour; the
sheet is a pale highlight map. Colour is now a dark constant (0.030/0.020/0.014) and the
texture supplies only alpha. Sampled in the render: hair (31, 26, 21).
Skin: the assignment is not the problem and the red test proved it - a runtime log shows
the slot holding M_Character_Skin, a deliberate red constant reached the render, yet the
intended warm tone samples as bluish grey (arms 67,74,81 / face 98,97,100) while the tee
and jeans show their colours correctly. Recorded in TODO.md with the next suspects rather
than guessed at.
The temporary material log is removed again.
Two tools that turn character work into something measurable.
- Tools/comfyui_character_blueprint.py generates a four-view sheet (front, side, back,
head) plus a contact sheet from one description, with fixed seeds and a JSON record
of prompts and prompt ids. First sheet: 'GigLine walker', lean pedestrian in a navy
tee, jeans and sneakers.
- Tools/character_match.py compares a rendered character against a sheet: figure
aspect, fill and coverage deltas, mean CIE76 colour distance, dominant-palette
distance, and a side-by-side montage. The deltas stay separate on purpose - a single
similarity score between a photoreal sheet and a low-detail body would be a number
with no meaning.
- comfyui_generate.py grew wait_for_image() so both tools share the polling path
instead of duplicating it.
- 13 unit tests for the colour maths, masks and palette; 95 tool tests pass.
First real result, recorded rather than smoothed over: aspect delta 1.24, fill delta
0.12, mean deltaE 31.9, palette deltaE 25.4. The montage shows the reason - the model
is a nude body and the blueprint wears a tee and jeans, so clothing dominates every
metric. Figure segmentation is explicit (--render-box): auto-detection picked backdrop
blobs on every attempt, and a background plate is the proper fix.
zwitschi