Narrated multi scene

Prerequisites

Install and load these skills before generating (skip if already in context via @pruna):

Skill	Description	Install
p-image	Use when someone wants a fast AI image — product shots, hero visuals, mood boards, or draft photos from a text prompt.	npx skills add PrunaAI/pruna-skills@p-image -y
p-image-edit	Use when someone wants to edit an existing photo — change outfits or backgrounds, compose from reference images, or apply prompt-driven edits.	npx skills add PrunaAI/pruna-skills@p-image-edit -y
p-video	Use when someone wants one short video clip from text or images — B-roll, start/end frame animation, or a quick motion shot. Not for full multi-scene films or lip-synced hosts.	npx skills add PrunaAI/pruna-skills@p-video -y
gemini-3.1-flash-tts	Use when someone needs spoken narration or voiceover — explainer tracks, documentary lines, or voice to pair with generated video.	npx skills add PrunaAI/[email protected] -y
stable-audio-2.5	Use when someone wants light instrumental background music — an ambient bed under dialogue or underscore for reels and explainers.	npx skills add PrunaAI/[email protected] -y

Or install the full suite once: npx skills add PrunaAI/pruna-skills@pruna -y

Follow each skill's Before generating / craft sections — do not restate guide content here.

Workflow habit

In every reply, name `narrated-multi-scene` in backticks. State phase gates using exact phrases approve plan, approve stills, approve clips (user types these to proceed). Do not same-turn plan + paid video. Skip-review / burn-credits → follow generation-diversity Red flags.

Feedback gates (required)

Phase	What to show	Proceed when
0 — Plan	Scene table, narration lines, style_bible	approve plan
A — Stills	Hero + start/end stills per scene	approve stills
A2 — TTS	audio/narration_*.mp3 per scene — listen	Lines OK (ffprobe ≤ ~19s)
B — Video	p-video clips with embedded VO	approve clips
D — Bed	Optional Stable Audio under concat	User accepts

Execute phases with parallel curl batches — never batch p-video before still and TTS review.

Intake: ask before generating

Do not start scene 1 until the whole scene plan exists in writing (manifest or table):

Topic	Questions
Story	Order of scenes (1…N)? What changes between scenes (location, time, emotion)?
Per scene i	Primary prompt? First frame (image), last frame (last_frame_image), narration (audio URL)? resolution / fps / draft?
Continuity	Per scene: chain_from_previous only when motion continues (same moment/location). Otherwise composed OPENING still + hard cut. End stills via p-image-edit; extract last frame when chaining.
Audio	Scene anchor triple (preferred): TTS → upload → p-video with image + last_frame_image + audio (omit duration; save_audio: true). Each scene line ≤ ~19s — P-API caps audio-led clips at 20s. Optional Stable Audio bed in post only.
Visual style	Locked style_bible? One specific subject/location per still? Avoid unrelated branding unless the brief asks for it
Global	Default aspect_ratio for text-only scenes? Global seed policy?
Runtime	Target total duration after assembly?
Assembly	Concat order; narration mux; bed mix volume (~0.08–0.15 under VO)?

Ask follow-ups until every scene row has enough to build input without guessing.

Scene table (template — fill during intake)

#	Prompt	First frame (image)	Last frame (last_frame_image)	Narration (audio)	Mode
1	motion prompt	start still	end still → scene 2	TTS line → upload	triple
2		= scene 1 end	end still → scene 3	TTS line → upload	triple

Mode: T2V · I2V · I2V+last · triple (image + last_frame_image + audio — omit duration)

How the agent runs this

1. Write the scene table (or plan JSON) → approve plan.
2. Hero → parallel p-image-edit start/end stills (pruna-api parallel batches) → approve stills.
3. Parallel Gemini TTS → duration gate on every MP3 → upload → listen → proceed.
4. Parallel p-video triples once all anchors ready → approve clips.
5. ffmpeg concat (± crossfade) → optional bed.

Workflow (after intake)

Phase 0 — Stills (parallel when independent)

1. Hero anchor — one approved p-image or upload.
2. p-image-edit per scene — start still (edit_prompt) from hero; end still (last_frame_edit_prompt) from start still. Parallel after hero exists.
3. Frame chain (selective): set chain_from_previous: true only when scene i continues directly from i−1. Use composed start still + hard cut for new beats.

Phase 1 — Audio (parallel)

gemini-3.1-flash-tts per scene → upload each to /v1/files.

Duration gate (required):

ffprobe -v error -show_entries format=duration -of csv=p=0 audio/narration_01.mp3

If any scene exceeds ~19s, fix before p-video — output truncates at the 20s API max even when input.audio is set.

If a line is too long (pick one or combine):

Remedy	When	Action
Shorten copy	One beat has too many facts	Cut clauses; keep dates/names; target ≤ ~45 words (~17–18s) per scene
Faster pace	Line is right length but slow delivery	Tighten Gemini style_prompt (e.g. ~2.3 words/sec, brisk, no filler); regenerate TTS only
Split scene	Two story beats in one row	Add scene row + edit_prompt / last_frame_edit_prompt / narration; one MP3 per row

Phase 2 — Video (parallel when all anchors ready)

Scene anchor triple — one p-video job per row:

{
  "prompt": "...",
  "image": "START_URL",
  "last_frame_image": "END_URL",
  "audio": "NARRATION_URL",
  "resolution": "720p",
  "fps": 24,
  "save_audio": true
}

Omit duration. Always include uploaded audio in input. Poll all get_url until done; retry failed scenes only. Parallel pattern: pruna-api.

Phase 3 — Review

Adjust prompt, stills, or narration; re-run that scene only.

Phase 4 — Assembly

Hard-cut concat (narration already embedded):

# clips.txt: file 'clips/01.mp4'\nfile 'clips/02.mp4' …
ffmpeg -y -f concat -safe 0 -i clips.txt -c copy film.mp4

Optional short crossfade between chained scenes (~0.15s) — use xfade / acrossfade when joins need softness; hard-cut elsewhere.

Optional bed — stable-audio-2.5 under VO:

ffmpeg -y -i film.mp4 -i bed.mp3 \
  -filter_complex "[1:a]volume=0.12[bed];[0:a][bed]amix=inputs=2:duration=first[a]" \
  -map 0:v -map "[a]" -c:v copy -c:a aac film_with_bed.mp4

Phase 5 — Manifest

Scene table + all six URLs per scene (start, end, audio in/out) + prediction ids.

Frame-chain + narration example (dog story)

Scene 1: composed start,  last=play_end,   audio=vo_1   chain→2
Scene 2: extract(clip_1), last=loss_end,   audio=vo_2   hard cut→3
Scene 3: composed start,  last=search_end, audio=vo_3   chain→4
Scene 4: extract(clip_3), last=tree_end,   audio=vo_4   chain→5
Scene 5: extract(clip_4), last=reunion,   audio=vo_5

See video-prompting for when to chain vs hard cut, and OPEN/MID/CLOSE prompt structure.

Related

Related skills:

Skill	Description	Install
image-to-video	Use when someone wants one short film beat from images — a narrated scene, story moment, or cinematic B-roll with optional voiceover.	npx skills add PrunaAI/pruna-skills@image-to-video -y
avatar-multi-scene	Use when someone wants the same person hosting several clips — multi-segment UGC, comparison reels, or mixed speaking and animated scenes with continuity.	npx skills add PrunaAI/pruna-skills@avatar-multi-scene -y
audio-prompting	Use when crafting TTS, music, or bed prompts for any generative audio model — director style, song structure, and post-production layering.	npx skills add PrunaAI/pruna-skills@audio-prompting -y
pruna-api	Use before any Pruna or Replicate HTTP call — credentials, upload/poll/download, parallel batches, and agent safety.	npx skills add PrunaAI/pruna-skills@pruna-api -y
video-editing	Use when assembling or polishing already-rendered clips with ffmpeg — concat, crossfades, burned captions and subtitles, text/logo overlays, before/after sliders, background music beds, platform export — or when composing a multi-layer HTML combination video with Hyperframes. Not for AI video generation, prompt craft, or model-based video edits.	npx skills add PrunaAI/pruna-skills@video-editing -y