SaveImage prefix now targets output/claude-generations/krea-deepstack-sweep/
on the render box, per Kevin's instruction that generated images go to a
dedicated folder and nothing else is opened. The tool only downloads back
the images it just generated.
New docs/deepstack-layers/ is the authoritative, reproducible account of
the 12 layers values, at three separated confidence levels:
1. Structure (verified from code): the values are gains on 12 equal
deepstack chunks - features from 12 successive Qwen3-VL encoder-depth
bands. Shown in kg_krea_v9/clip_hooks.py (the deepstack feature list)
and conditioning.py (the 12-way width split).
2. Semantics (convergent evidence): analyze_tables.py reads the live
tables and shows the four independently-tuned appearance tables
(style/palette/material/lighting) agree chunk-for-chunk - 0-4 carry
structure (monotonic depth ramp, all suppress), 5-6 transition, 7/8/10
carry appearance (all spike, chunk 8 strongest, then 10, then 7). Four
tables tuned for four different jobs converging is the measurement
encoded as data, not an assertion.
3. Precise response curve (fresh measurement): generate_sweep.py is a
turnkey single-chunk-spike sweep (the paper's section 16.4 method),
emitting each spike as a V10 custom recipe validated against the real
node code. Dry-run works anywhere; rendering needs the V10 nodes on a
ComfyUI box (single-chunk tables are not V9-expressible), so the
measured-verdict table is staged pending a V10-equipped render box.
SCORING.md defines the rubric.
Cross-linked from technical paper 5.2, the recipe guide, and
custom_recipes/README. Tooling lives under docs/ (excluded from registry
packs by .comfyignore). sweep_out/ is gitignored.
Kevin Gilper