[FunPack] K/V conditioning patch: Inactive | Non-LTX model loaded
[FunPack] Chunk cache: Active | 22 chunks, 4 steps each, consistency
`feature(tag, name, active, reason)` is the shape, and `skipped` renders
identically — a deliberate skip and an inactive feature are the same fact and
should not have two spellings. `failed` becomes `Name: Failed | <effect>`,
keeping the effect rather than the exception text: "that explains what I am
looking at" is the half worth the line, and an exception message rarely says it.
Everything funpack_log prints is now cut at the first sentence end, so the call
sites keep their reasoning without spending it on every run. SENTENCE ENDS ONLY
— an em-dash introduces the reason as often as the essay, and a renderer that
guesses wrong eats the one part of the line worth reading. A single long
sentence is hard-trimmed instead of left to run.
FUNPACK_LOG=verbose (or set_verbose) prints the full text, exception included.
Converted to the new shape: the chunk cache, region locks, interior pins, the
taste push, the token-refiner edit, AdaLN gains, rating-learned gains, phrase
emphasis, the K/V conditioning patch, the scene split, Bounded Attention,
per-block LoRA weights, LTX enhancements. The rest of the log gets the trim for
free and keeps its own phrasing until converted.
Tests: 1815 python (+9), 68 JS.
The Chain Sampler reads one conditioning entry per SCENE
(scene_conditionings = positive[:max_scenes]). When Studio stopped discarding
the entries past the first of a wired CONDITIONING — the fix for a reference
surviving while the prompt did not — those entries reached the sampler
untagged, and the r2v reference block was counted as a scene of its own. The
run sampled the shot twice, which from outside is "the model ran a second pass
for no reason".
Studio tags every pass-through entry as a companion; the sampler excludes
companions when counting scenes and hands them to every scene instead, so they
still reach the model. Both halves of the original bug stay fixed: nothing is
dropped, and nothing is mistaken for a scene.
Also fixes the liked-conditioning blend, which was the last payload path still
doing a raw lerp: _v2_shape_compatible ignores sequence length by design, so a
direction learned at 586 positions met a 494-position prompt, threw, and took
the whole pull toward what the user rated well with it. Routed through
_v2_payload_like like every other payload.
Adds stage timers for the nine learning steps the first pass did not cover —
55% of a 26.9s run was accounted for, and the rest was unnamed.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
"conditioning memory failed (size of tensor a (492) must match tensor b
(499))" — the compatibility gate checks the channel width and the batch
and deliberately not the sequence length, so the payload passed and the
lerp threw. On LTX the encoder pads to a fixed length and this never
happened; Qwen does not pad, so on H3 the length moves with every prompt
edit and the entire learned direction was dropped for that run.
_resize_conditioning_sequence_like was already in the file for exactly
this, with zero callers. Both the blend and the repel now use it, and say
once when a payload had to be resampled.
An exact-length payload is untouched, so the common case — same prompt,
re-rolled — stays bit-exact.
digital-garbage