New 'seed' input seeds sampling (torch.manual_seed before generation) so a fixed seed
reproduces the same output — no reroll when re-queueing while tweaking downstream nodes;
bump it to reroll (named 'seed' so the frontend adds control_after_generate). Generation
now honors ComfyUI cancel: a StoppingCriteria halts model.generate() promptly and
_check_interrupt() raises between passes. Workflows updated with the seed widget.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Rebuilt around the real model: group_frames (721) are HARD splits; segments = user
splits UNION the group lines, so a segment never crosses a group boundary (last segment
in a group ends exactly on frame 721). segment_select is now a RANGE string ('A-B' /
'N' / '' = all) that crops waveform_image + audio + summary to segments A..B. Render
rewritten: mirrored waveform (uses top+bottom), bold group grid, thin segment lines,
labels along the top and notes along the bottom, selected range shaded. JS: guards
frame values (0 -> default, fixing the 400+-segments-on-reload explosion), writes only
USER splits to segments_json, dblclick=add split / shift-click=remove / click=seek.
group number fixed (boundary rounding). Workflows + README updated.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Pivot to the user's model: segments are a fixed grid of subsegment_frames frames
(default 721 @ 24fps = one LTX clip), not arbitrary clicks. New inputs:
subsegment_frames (grid size) and segment_select (0=all, N=output ONLY chunk N —
crops waveform_image, AUDIO, and summary so you can generate/skip one beat at a time).
_render gains window-crop + frame markers + per-segment time/frame labels. JS rewritten:
draws the fixed grid, auto-fills the notes box with one segN: line per chunk (type or
dblclick to note), click-to-seek, playhead + time readout. Workflows updated for the
new widgets.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The canvas Load expects the UI graph format (nodes[]+links[]+positions), not the
API format — so the _api.json came up empty. Added workflow_ltx_audio.json in UI
format (matched the schema from a real workflow: node dicts with pos/size/inputs/
outputs/widgets_values, link tuples, version 0.4), validated slots/links. Dropped
audio_upload from AudioWaveSegments so the widget layout is predictable (the JS
upload button stays). README points to the loadable file; _api.json kept for the bridge.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
New workflow/workflow_ltx_audio_api.json: Audio Wave + Segments + LoadImage (subject)
+ Text (Prompt) holding the LTX audio system prompt -> Judge in chat mode
(json_output, model 3.5-9b) -> LTX beats JSON on the analysis output. Added a tiny
CalibratorText node ('Text (Prompt)', STRING source) needed to feed the judge's
forceInput system_prompt/user_prompt/axes sockets. README points to the workflow.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Disabling thinking made reasoning models mark everything 'match' even when ref/gen
clearly differ. Added an enable_thinking toggle (default ON) threaded through the
generation path; the prompt now allows reasoning then asks for the result, and
verdict_rule explicitly warns against lazy 'match'. _parse_json now scans for the
JSON object AFTER the reasoning prose (last balanced object with 'axes'), and the
markdown fallback already reads reasoned per-axis output. Default max_new_tokens
2048->3072 so verdicts don't get cut off.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
axes, reference_description, system_prompt, user_prompt now render as INPUT
SOCKETS (forceInput) so they can be wired from other nodes — e.g. describe's
canonical output -> compare's reference_description, or a text node -> chat
prompts. Small config (report_dir, run_tag, model_path, ...) stays as typeable
fields. Unconnected sockets fall back to sensible defaults; the agent/bridge can
still set them by value via the API. Dropped the now-socket fields from the
example workflows; bumped their max_new_tokens to 2048.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
fp16 offers nothing over bf16 for these models (removed from the quant dropdown;
loader still tolerant if passed). prompt_used was metadata-only — removed from the
node inputs, report payload/markdown, the bridge, and the example workflows.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
A discrete verdict collapses magnitude and a generic axis can hide what you're
calibrating (a blowjob where the head is 20cm away still reads sexual_act=oral ->
MATCH). New 'profile' input selects an act-specialized axis set (general / oral /
penetration / handjob / solo) whose act-critical axes capture distance explicitly
(mouth_genital_distance: touching/<5cm/10-20cm/>20cm, oral_depth, insertion_depth,
stroke_position, ...). axes now overrides the profile when set. agent_bridge gains
--profile; workflows + docs updated.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Describe mode now produces a single coherent, internally-consistent canonical
scene description (paragraph + per-axis spec, written to canonical_reference in
the report). Compare gains an optional reference_description input: when set, it
anchors on that fixed text and shows only the generated image (no swap) — so the
reference side never drifts or self-contradicts across iterations; only the
generated image is re-described each turn. agent_bridge gains --ref-desc /
--ref-desc-file (reads the describe report's canonical_reference). Docs + example
workflow updated.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The 4B's 0-1 scores were unreliable (identical ref/gen scored ~0.6), so the
judge now returns verdict match/partial/mismatch per axis; overall_score and a
new mismatch_count are computed from verdicts on our side (reliable, monotonic).
Expanded the action/pose cluster into position_name, body_orientation,
limb_arrangement, penetration, contact_points, genital_visibility (+ breast_size)
so explicit poses carry detail. Each axis now ships a one-line definition in the
prompt so gender_mix/subject_count stop absorbing positional text. 24 axes total.
Example workflows use the node default (axes=''). Docs realigned; stop condition
is now mismatch_count==0.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
New mode on QwenVLImageJudge: 'describe' looks at the reference alone and returns
a prompt-ready caption + per-axis target spec to seed the very first prompt (the
generator has nothing to reproduce yet). 'compare' is the existing ref-vs-gen
scoring. generated_image is now optional (required only for compare); shared
generation refactored into _generate_from_messages; third output renamed
diff_analysis -> analysis (mode-agnostic). agent_bridge gains --mode (describe
needs no receptor/prompt); added workflow_describe_api.json. Docs updated with the
first-pass bootstrap step. Fixed error-return arity to 5-tuple.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
EthanfelandClaude Opus 4.8