Phase 1 amended: the engine now also saves the frozen conditioning (cond.pt) per batch
so submit can train on (cond, rating).
Phase 2 (panel + API): new batch_training.py registers /funpack/batch/{list,submit,forget}
(follows the existing /funpack/* PromptServer pattern). Studio gains a 'Batch Training'
section under the refiner: lists the pending batch for the active refinement key with each
entry's filename + seed, a Preview button (loads the temp webp via /view?type=temp), and a
per-entry V2-rating dropdown, plus Submit and 'Forget batch'. Previews served straight from
ComfyUI temp — no custom file route needed.
Phase 3 (learning intake): Submit loads cond.pt and trains the value function on
(cond, reward) for every rated entry — same conditioning, N rewards = variance-reduction
RLHF, which directly sharpens conditioning ascent. '-Just forget it-'/unknown ratings are
skipped. Submit consumes (deletes) the batch; Forget discards it without learning. Either
way the panel clears and the sampler is ready for a new batch.
Human stays the rating oracle throughout (no auto-rating) — 'user over everything'.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
