Deletes the FunPack Scene Builder node and the Studio Scene Builder feature
— the per-key scene database (scene_db / universal_memory / saved scenes),
the Studio "Scene" tab, scene-phrase authority over classification, and the
scene-database wildcard cleanup. It was redundant: helpful on paper but
effectively unused, undrivable from the Cutting Room, and a risk to shortcuts.
Removed:
- node registration (__init__.py, funpack.py) + web/funpack_scene_builder.js
- templates.py: scene-DB storage layer (load/save/normalize/empty_scene_db,
SCENE_DB_VERSION/SCENE_STATE_FIELD/SCENE_CATEGORY_SOURCES, scene_store_path),
all scene_* helpers, resolve_scene_database_wildcards, the FunPackSceneBuilder
class, and the /funpack/scenes* routes
- conditioning.py: _v2_scene_builder_db / _v2_scene_memory_item /
_v2_apply_scene_builder_authority / _v2_scene_builder_category_for_entry /
_v2_sync_scene_builder_memory / _v2_resolve_scene_builder_wildcards (+ wildcard
helpers + _v2_scene_key), the scene_db threading through classify/learning,
the scene_category_locked phrase fields + their training branch, the
state["scene_builder"] preservation, and the Studio scene_builder prompt mode
- web/funpack_studio.js: Scene tab, SB_MODES, scene_builder settings, renderScene,
fetch/saveScene, the Session Scene-Builder section, and the Refiner banner/notice
- tests/test_scene_builder.py (whole file) + scene-builder tests in
test_v2_category_alignment.py; the SceneBuilder example workflow + its doc;
README link; Scene Builder mentions in docs/FunPackStudio.md
Kept intact: shortcuts (apply_prompt_shortcuts / shortcut DB), transitions and
the canonical split_scenes splitter, and FunPackRefinementKeyLoader. Studio now
always uses the connected positive_prompt. No new test failures (the 16/97
remaining in tests/ are pre-existing env/sampler failures); movie_editor 140 pass.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Document the Movie Editor, update README for the 3.0 frontend direction, credit pipeline dependencies, and ship CHANGELOG/pyproject 3.0.0.
Co-authored-by: Cursor <cursoragent@cursor.com>
Scene chain sampler scene_boundaries JSON now reports pixel/latent overlap
zones, boundary contamination ranges, per-scene mechanisms, and global steering
notes. Pytest conftest stubs the parent FunPack package so light tests run in
the ComfyUI venv without importing folder_paths; align timeline/builder/nodes
tests with current prompt and report formats.
Adds s_churn/s_tmin/s_tmax to sample_funpack_distilled_flow: optionally
re-noise the latent within [s_tmin, s_tmax] before each eval, then denoise
from the bumped sigma_hat. No extra model calls (still one eval per step,
at a higher noise level). Fights stale/frozen distilled output (more motion)
and can sharpen by letting the model re-resolve. sigma_hat is clamped to the
schedule start so the model never sees a higher-than-trained noise level, the
final jump-to-zero detail step is never churned, and the default 0.5-1.0 band
protects the sub-0.4 detail finish per the empirical sigma findings.
Churn supersedes the legacy s_noise ancestral path while active and is
video-stream-only on packed LTXAV latents. With s_churn=0 the sampler is
byte-identical to the previous deterministic ODE. Wired into the node and
Studio's Distilled Flow config panel.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Port the Hybrid/RF velocity-bias capture/apply and rating-gated reactive
rescue into sample_funpack_distilled_flow, reusing the shared trajectory
memory helpers. Adds velocity_bias_mode/strength/source/key and
rescue_mode/threshold/strength to the FunPackDistilledFlowSampler node and
wires them into Studio's Distilled Flow config panel (same blank/'default'
velocity-key -> refinement-key fallback as Hybrid). Steering is
magnitude-preserving and, on packed LTXAV latents, video-stream only
(audio-safe). With all controls off the sampler is byte-identical to the
previous deterministic ODE.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Document the three undocumented releases (2.7.5 embed guidance + online
value function + mid_scene_guide; 2.7.6 value-function ascent + rating
overhaul; 2.7.7 reactive rescue + Batch Training) and bring the Scene
Chain Sampler, Hybrid Euler-2S, and Studio docs in line with current
parameters and features.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Add confirmed-bad-combo warnings to both parameter tooltips, the sampler
doc, and the changelog. Warn users not to combine frame_overlap=0 with
carry_i2v_guides=True in normal use.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Perfect is not a ceiling. If the user has an active advisor mode and
provides feedback_prompt, the advisor must honor it regardless of the
rating. Two guards were blocking this:
- Analysis pass (pass 1): was skipped when is_perfect=True even with no
feedback, so Full/Only-diagnostics mode produced no analysis for
Perfect runs. Removed the not-is_perfect restriction so analysis runs
whenever mode requires it and no explicit feedback was given.
- Repair guard (pass 2): had an explicit is_perfect-and-not-has_feedback
branch that silently blocked repair for every Perfect run with no user
text. Removed it entirely. The only remaining guard is the existing
allow_prompt_change check (Learning mode / advisor mode Off).
Now for Perfect + user feedback: advisor honors the feedback fully.
For Perfect + no feedback + Full mode: analysis runs, repair runs.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- CHANGELOG: add new Changed and Fixed entries for negative conditioning
removal, advisor system prompt rewrite, token limit increases, Only
prompt double-call fix, and encoded_prompts bug fix.
- README: update 2.5.0 section to cover all of the above.
- docs/FunPackVideoRefinerV2.md: remove negative_prompt input and
modified_negative output; update advisor_mode description with new
structured input format and token budgets; update encoded_prompts
output description with all four possible sections.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
