/render-narrated-ugc-wardrobe-stitch

name: render-narrated-ugc-wardrobe-stitch
description: "Assemble a narrated-UGC \"stitch reply\" ad from a config: one voiceover carries a verbatim testimonial while about 30 short clips (one creator across about 5 outfits and 3 settings, plus product B-roll) are trimmed to windows cut from the voiceover's word timings and joined. The voiceover sits over a ducked music bed, word-by-word captions run throughout, a landing-page scroll is animated from a screenshot, and the brand's real end card closes it (never AI-rendered text). Free, deterministic assembly using the shared stitch-videos-ffmpeg helper; the voiceover, creator stills and clips come from create-vo-elevenlabs, create-image-gpt-image-fal, create-image-fal and create-video-fal. Use for the narrated-ugc-wardrobe-stitch format."
status: active
version: "1.0.2"

render-narrated-ugc-wardrobe-stitch

Assemble a **narrated-UGC "stitch reply"** ad from a config: a fast-cut vertical testimonial where a single spoken VO carries a verbatim ~13-sentence testimonial over ONE creator across ~5 wardrobe changes in ~3 micro-worlds, interspersed with product B-roll (e.g. product macro, unboxing, a landing-page scroll), ~30 hard cuts on the VO cadence, closing on a brand end card. This capability is the **FREE, deterministic assembly** — trim-to-EDL, hard-concat, the VO+music mix, the word-by-word caption burn, the landing-page zoompan, and the end-card append.

`scripts/config.example.json` is one worked example (the fictional Sunnook "Don't buy Sunnook Tan Mousse" demo, ~37s 1080×1920 9:16, ~30 body cuts + a ~2s end card) — its creator, voice, hook, worlds and music are that demo's answers, not defaults; `scripts/PIPELINE.md` maps every config block to its source step and `scripts/README.md` documents the free assembly.

Choices

The creative calls are made upstream by the user (the recipe's `choices`) and arrive in the config; this assembly never picks them.

• **creator** — who is on camera → `character.descriptor` / `character.name`. The demo used a

31-year-old curly-haired woman.

• **voice** — the narration voice → `vo.voice_id` / `vo.settings`. The demo used an excited voice

matched to its creator.

• **hook_angle** — the testimonial's hook → `vo.hook_line` / `vo.script_md` / `vo.payoff_line`. The

demo used a "Don't buy <brand>" reversal.

• **worlds** — the 3 places → `worlds.briefs`. The demo used bedroom / bathroom / balcony.
• **music** — the bed under the VO, or none → `audio_mix.music_brief`. With "no music", skip the bed

and mix the VO alone.

Run

This is the **FREE, deterministic** assembly stage — it spends nothing. The paid inputs are separate capabilities — the spoken VO (`create-vo-elevenlabs`) Whisper-aligned so the WORD BOUNDARIES set the cut grid; one locked creator (`create-image-gpt-image-fal` anchor + ~5 wardrobe edits chained off the anchor) + 3 world wides + per-cut start-frames (`create-image-fal` product composites); and one Veo/Seedance i2v clip per cut (`create-video-fal`). Given the VO + `vo-final.words.json` + `edl.json` + one clip per cut + a Playwright landing-page PNG + the brand end-card PNG, `render-narrated-ugc-wardrobe-stitch` trims each clip to its EDL window, hard-concats on the VO cadence, mixes the VO over the ducked bed, burns the word-by-word captions, appends the end card → the master. Re-cuts reuse the existing VO / start-frames / clips and spend nothing.

**The assembly runs on a shared helper.** `montage.py` lives in the shared `stitch-videos-ffmpeg` atom, which this package lists in `requires_skills`, so it installs alongside. After `gooseworks fetch render-narrated-ugc-wardrobe-stitch` it is at `/tmp/gooseworks-scripts/stitch-videos-ffmpeg/scripts/montage.py`. Write a `montage.json` from the config (field mapping in `scripts/README.md`), then:

M=/tmp/gooseworks-scripts/stitch-videos-ffmpeg/scripts/montage.py
python3 $M edl --spec montage.json --out edits/edl.json            # check every clip + window first
python3 $M run --spec montage.json --out edits/master-final.mp4 --workdir edits/work

`run` builds the EDL from the VO word boundaries (`word_range`), trims and hard-cuts every clip with the `filter_complex` concat filter, renders the landing-page scroll as a zoom/pan over the PNG, holds the end-card PNG, burns word-by-word captions (one word at a time in one colour, with `respell`; no active-word highlight), mixes the VO over the ducked bed, and masters to -14 LUFS. It writes `edits/work/manifest.json`. This package ships no scripts of its own.

Contract (the free assembly)

• **The spoken VO carries the narrative — lock it FIRST.** The VO IS the narration bed; the whole

ad is cut to it. Never plan the cut grid before the VO is locked and Whisper-aligned.

• **Build the EDL from the VO's Whisper word boundaries.** ~30 role-tagged cuts (`hook`, `feature`,

`reaction-insert`, `payoff-hold`, `b-roll-insert`, `landing-page`); snap every cut window to the word boundaries. The payoff line gets a HELD `payoff-hold` beat (~3× mean shot length).

• **Hard cuts via `filter_complex concat`, not the demuxer.** Trim each clip to its EDL window and

hard-concat with `filter_complex concat` — the `-f concat` demuxer drops the audio when a drawtext/scale step shaves a clip a few ms below its window. No dissolves.

• **Karaoke-pop captions on every word, throughout.** From the VO's `vo-final.words.json` (VEED

Whisper preset, bold yellow), on every word; re-spell brand tokens Whisper mishears against the locked script (Sunnook demo: "Sunnook" over "Sunook"; kept "I'ma" verbatim) — never edit the script to match Whisper. Captions are suppressed over the end card. If VEED mis-captions a brand token, hand-patch that sentence with local ASS karaoke.

• **Product B-roll breaks up the talking head.** Product macro (Sunnook: mousse on a mitt), unboxing, and a landing-page

scroll are interspersed with the creator cuts. The landing-page scroll is FFmpeg **zoompan*