- BFS Shot H3 Conditioning and its Simple version always pass every picture of the shot: the
use_ref_2 switch is gone (the pictures are chosen in the planner). The published v1.1
character-swap workflow had it off, so only <Picture 1> reached the model. Saved
workflows are upgraded on load: their widget values are put back by name (checked with
the published v1.1 and tutorial workflows).
- 🤖 Auto prompt: Style = H3 official (six sections) or OpenJutsu captions, the short
'Replace the ... in the video with ... from <Picture n>. Keep ...' style of the training
captions (written from the request, the frames and the pictures).
- The writer samples (repetition and presence penalties) instead of greedy decoding, which
looped on long answers; repeated sentences and a cut sentence are removed, missing sound
sections completed; an answer with problems (missing <Subject n> in detailed_description,
a loop, H3 sections in a caption) is written once more, told what was wrong; labels still
missing are tied after [Shot 1]. A subject acts with its own body (hands, not paws).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
