Film Maker

film-maker — Slope Studio operator guide

You are driving studio, a 7-stage CLI that turns a text idea into a finished vertical Short. This skill tells you exactly how to run and observe each stage.

0. Environment check (do this first)

cd /Users/dasein/dev/slope-studio
source .venv/bin/activate 2>/dev/null || { uv venv && source .venv/bin/activate && uv pip install -e ".[fal]"; }
command -v ffmpeg ffprobe >/dev/null || echo "MISSING ffmpeg — install it"
studio --help        # confirm the CLI is importable

Keys live in .env (gitignored). studio auto-detects them and picks providers; FAL_KEY unlocks Nano Banana images + AI video. No keys → it still runs on the free/offline path (stub script, stub images, kenburns video, edge voice).

1. The pipeline at a glance

script → visuals → narrate → clips → stitch → audio → voice → save → [publish]
  ①         ②         ②.5      ③       ④       ④.5      ⑤      ⑥        ⑦

Each stage reads/writes runs/<id>/. The manifest project.json records provider, cost, latency, done-flag per stage. Stages are idempotent (skip if output exists; --force to redo visuals/clips). audio ④.5 generates sfx + a music bed between stitch and voice; the voice stage mixes them in (music ducked under narration). Sound is a cheap, big quality lever — see guides §11.

narrate (stage ②.5, runs when voice is on) TTS-synthesizes each scene first, so every clip lasts exactly as long as its narration → the final length follows the speech (~target ±30s), perfectly synced, no truncation. It writes 05_voice/scenes/*.mp3, 05_voice/timing.json, and the aligned 05_voice/captions.srt.

Silent held beats — a scene with empty narration is NOT dropped: narrate emits silence for the scene's planned duration_s (start→end) and holds the clip that long. Use this for wordless cinematic interludes (atmosphere skies, a held glow) that stretch a short text to a longer runtime — keep them moving (parallax/drift) and let the music bed carry them so they read as breathing room, not dead air.

1.5 Orientation / aspect ratio — vertical OR classic landscape

The pipeline renders whatever aspect the scenario asks for. Set it once and every stage (visuals, animators, transitions, captions, master) adapts — driven by studio/canvas.py (set_from_aspect → W×H); helpers default their w,h to that canvas.

studio run "topic" --aspect 16:9 --duration 600   # classic landscape YouTube video
studio init "topic" --aspect 16:9                  # then drive stages; aspect lives in 01_script.json

• A hand-authored 01_script.json just sets "aspect": "16:9" (top level) — stages read it.
• Captions stay on-frame in any aspect (burn_subs margin + caption_strip width/height scale with the canvas; landscape wraps wider so text fills the frame, never clipped).
• Compose prompts for the orientation: for 16:9, write WIDE horizontal framings (vistas, lateral staging, subject offset left/right) and put 16:9 widescreen in the character style string; for 9:16, vertical framings.
• ⚠️ Length note: a 9:16 ≤180s upload is a Short; anything longer (or any 16:9) is a regular YouTube video, not a Short. Long landscape readings are fine — just not "Shorts".

1.6 Preview thumbnail — REQUIRED for long-form (the Kafka style)

Shorts don't need a custom thumbnail (the vertical frame IS the preview). But for every long-form / landscape video (the literary readings), generate a preview BEFORE publishing so the channel keeps one consistent, recognizable look:

studio thumbnail <id> --author "Franz Kafka" --title "Before the Law" --at 8
#   omit --title/--author to auto-derive them from 06_final.json metadata / topic
studio publish <id> --target youtube --channel <name>   # auto-uploads 06_thumb.png if present

This writes 06_thumb.png (1280×720) in the canonical style — modeled on the Kafka set (Before the Law · An Imperial Message · First Sorrow): a darkened hero frame, a short HOOK caption top-left, the AUTHOR in gold, a gold accent bar, then the big white TITLE bottom-left (cardgen.thumbnail). Keep every long-form preview in this one style so the series reads as a matched set:

• Same layout every time: AUTHOR (gold) + accent bar + TITLE, with a one-line hook on top.
• Pick a strong, legible hero frame with --at <seconds> (a clear subject, not a transition).
• Title ≤4 words; use the real author's name; let the hook tease, not spoil.
• studio publish (and studio run --publish-to) auto-attach 06_thumb.png — so just run studio thumbnail first; if you skip it, YouTube auto-picks a random frame (don't).

2. Produce a whole video (one command) — pick a TIER

--tier free|cheap|balanced|premium sets all providers + video strategy. Override any stage with a flag. --max-cost (default $3) caps spend; clips trims/aborts to fit.

# cheap: real Nano Banana stills + free Ken-Burns motion (~$0.59 / 150s)
studio run "the chemistry of humor" --duration 150 --tier cheap

# balanced: stills + SMART AI video filling $3 on the best scenes
studio run "the chemistry of humor" --duration 150 --tier balanced --video-model ltx --max-cost 3

# free: fully offline draft, no spend, no AI
studio run "topic" --duration 30 --tier free

# premium: AI on every scene (expensive — uncap with --max-cost 0)
studio run "topic" --duration 60 --tier premium --max-cost 0

# explicit per-scene control overrides the tier:
studio run "topic" --tier cheap --ai-scenes 1,8,15 --video-model kling --max-cost 3

• --max-cost N (default 3) — clips estimates per-second cost and aborts/trims before spending.
• --publish-to youtube --privacy public to upload at the end.
• --from-stage / --to-stage to run a slice (e.g. --from-stage visuals --to-stage stitch).
• --run-id NAME reuses/resumes a run; without it a timestamped id is created.

Always report the run id + studio status <id> after producing.

3. Run & observe ONE stage at a time

Create a run, then drive stages individually — the normal mode when iterating or debugging:

RID=$(studio init "octopuses are aliens" --duration 60 | awk '{print $2}')
# (or: studio init ... --run-id myrun  → then RID=myrun)

① script

studio script $RID --provider stub        # or groq|openrouter|ollama|openai|gemini
cat runs/$RID/01_script.json | jq '.scenes | length, .scenes[0]'   # inspect scenes/timing

Check: scenes tile [0, duration] with no gaps; each ≤8s; narration present if voice. Timing warnings print to stderr.

①.5 critic — gate the scenario BEFORE spending on visuals/clips

⚠️ RULE — never render visuals/clips on a weak scenario. A wired-but-empty video (vague narration, no real content, no feeling) is the #1 failure. After script, read 01_script.json end-to-end and score it against the four criteria below. If it fails any, rework the scenario and re-script — do not proceed to visuals.

The critic checklist (all four must pass):

1. Topic revealed? — Does the piece actually deliver on its title/promise? A viewer who only saw this must come away knowing the thing the title teased, not just hearing it gestured at. (If the title asks a question, the body must ANSWER it.)
2. A concrete fact / thought / event, explained? — Is there ≥1 specific, nameable fact, idea, or moment (a number, a name, a date, a mechanism, a turning point) that is stated AND explained — not just asserted? Vague "it changed everything" with no what/why fails.
3. Informative AND interesting? — Does it teach something a smart viewer didn't already know, framed with a real curiosity gap? If it's hollow (filler, generic, obvious) → decline with written feedback naming exactly what's missing, then rewrite.
4. Emotional payoff? — What does the viewer FEEL (awe, dread, injustice, wonder, the click of a paradox)? Name the intended emotion per act. If the arc is flat / emotionless → decline with feedback and add the missing beat (a stake, a twist, a human cost, a reveal).

Write the verdict explicitly (PASS, or DECLINE + per-criterion feedback). On decline, edit 01_script.json (or re-run studio script with a sharper idea/outline) and re-critique until it passes. Only then run visuals. Authoring patterns that pass this bar: guides §0.5.

This gate is also wired into the CLI (so headless studio run / the cron autopilot get it too):

studio critic $RID                       # score the current scenario → 01_critic.json (exit 1 if it fails)
studio run "idea" --critic on            # DEFAULT: gate + auto-rework the script up to --critic-retries (2),
                                         #   then proceed with the best attempt
studio run "idea" --critic strict        # abort the run if it still fails after retries
studio run "idea" --critic off           # skip the gate
#   --critic-provider <llm>  picks the judge LLM (defaults to the script provider)

The CLI judge applies the SAME four criteria; --script-provider stub skips it (wiring-only). When you're driving by hand, still do the agent critique above — your judgment is sharper than the in-code judge; the CLI gate is the safety net for unattended runs.

② visuals

studio visuals $RID --provider fal-nanobanana   # or stub (offline) | pollinations
ls runs/$RID/02_visuals/                          # one PNG per scene
# pass a character reference for consistency:
studio visuals $RID --provider fal-nanobanana --char-ref path/to/face.png --force

Observe: open the PNGs; verify the character looks consistent across scenes.

③ clips ⚠️ COST CENTER — always studio estimate first

AI video is billed per second (kling $0.07/s → 150s = $10.50). Pick a strategy:

studio estimate $RID --budget 3                         # preview cost per model + what fits
studio clips $RID --strategy kenburns                   # FREE pan/zoom on stills ($0)
studio clips $RID --strategy auto --model ltx --max-cost 3   # SMART: fill AI within $3
studio clips $RID --strategy hybrid --ai-scenes 1,8,15  # only these scenes get AI
studio clips $RID --strategy all --model kling --max-cost 0  # AI every scene (0 = no cap)
for f in runs/$RID/03_clips/*.mp4; do ffprobe -v error -show_entries format=duration -of csv=p=0 "$f"; done

• --model (all PER-SECOND, verified 2026-06-04): ltx (cheapest $0.04/s @1080p → 5s ≈ $0.20) · hailuo ($0.045/s) · kling (default $0.07/s) · wan ($0.16/s → 6s ≈ $0.80) · seedance ($0.30/s, premium).
• The stage aborts/trims before spending if the estimate exceeds --max-cost.
• Each clip normalized to 1080x1920/30fps; fal i2v clamps to 5/10s.
• To bias auto, set "priority": N on important scenes in 01_script.json.

④ stitch

studio stitch $RID --transition fade --transition-s 0.4   # fade|cut|wipeleft|dissolve|...
ffprobe -v error -show_entries format=duration -of csv=p=0 runs/$RID/04_stitched.mp4

⑤ voice

studio voice $RID --provider edge          # captions OFF by default (YouTube auto-generates)
#   add a music bed:  --music beds/lofi.mp3
#   only bake in text for muted-autoplay feeds:  --captions burn
mpv runs/$RID/05_voice/final.mp4   # or open in QuickTime; check VO sync (+ captions if burned)

Captions are off by default — narrate still writes captions.srt, so upload that as a YouTube sidecar instead of burning a text wall over the visuals. See guides §6.

⑥ save

studio save $RID
ffprobe -v error -show_entries format=duration:stream=codec_name,width,height \
  -of default=noprint_wrappers=1 runs/$RID/06_final.mp4   # expect h264 1080x1920 + aac

⑥.5 metadata + ⑦ publish (optional)

studio metadata $RID                                  # SEO title/desc/tags → 06_final.json (auto-runs before publish)
# YouTube: one-time OAuth setup (client_secret.json) — see docs/40-publishing/youtube.md
uv pip install -e ".[youtube]"
studio publish $RID --target youtube --privacy public # receipt → 07_publish.json
# or in one go: studio run "..." --publish-to youtube --privacy public
# TikTok is audit-gated → tiktok target raises (private-only until audited)

Full setup + quota/constraints: docs/40-publishing/youtube.md.

⑥.7 thumbnail / preview (REQUIRED for landscape uploads)

⚠️ RULE — every normal (non-vertical, i.e. 16:9/landscape) video MUST get a generated preview/thumbnail before YouTube upload. It's a balanced composition with a hook (a curiosity-gap line or the most striking frame), and if the piece has an Author/Name (e.g. Franz Kafka — Before the Law) that author + title MUST appear on the thumbnail. publish auto-attaches 06_thumb.png if present, so make it first. (Vertical Shorts don't need one — YouTube auto-picks a Shorts cover.)

studio thumbnail $RID --at 6                     # hero frame @6s + auto title/author → 06_thumb.png
studio thumbnail $RID --title "BEFORE THE LAW" --author "Franz Kafka" \
                      --hook "a door made only for you"   # override any field
# then publish — the thumbnail is set on the upload automatically:
studio publish $RID --target youtube --privacy unlisted --channel <name>

• Title/author auto-derive from the scenario topic/title (e.g. "… — Franz Kafka", "… by Kafka"); override with --title/--author. --hook is the curiosity line.
• Free (Pillow): cardgen.thumbnail cover-crops the frame, adds a scrim, yellow accent, author-in-yellow + big white title, optional hook. 1280×720.
• Custom thumbnails need a verified YouTube channel; if the account isn't verified the upload still succeeds, the thumbnail is just skipped.

⑦.5 retire / reupload an already-published video

Flip an existing upload's privacy, or replace a 16:9 upload with a fresh 9:16 Short. Needs the youtube.force-ssl OAuth scope on the channel token.

# Just retire (hide) an existing video — no reupload. USE THIS, not the raw helper:
studio unlist <VIDEO_ID> --channel <name>            # default privacy=unlisted; --privacy private|public
#   ↑ flips YouTube privacy AND sets journal entry.unlisted → recomputes percentiles/bandit/
#     outcome over the PUBLIC portfolio (SLO-39). A retired video stops skewing stats.

# Retire old + reupload the master as a 9:16 Short (converts, uploads, patches journal):
python3 scripts/reupload_as_shorts.py \
  --run-id <run-id> --old-video-id <VIDEO_ID> --channel <name>
#   --old-privacy unlisted|private   old video state after reupload (default: unlisted)
#   --skip-convert   reuse existing 06_final_shorts.mp4
#   --skip-upload    dry run (retire only, no new upload)

• Journal reflection: studio unlist sets entry.unlisted so the video drops out of all stats. The raw publish.set_privacy(...) helper does not — it only calls the YouTube API. Prefer studio unlist whenever the video has a journal entry.
• Reupload = a new video_id → zero views/analytics, cold-start; the journal entry is swapped to the new id and its metrics/snapshots cleared. Prefer unlisted over private for the old one so its comments/analytics stay reachable by direct link.
• New Short only counts as a Short if ≤180s (see the ⚠️ length note above).

3.5 Animation & transitions (per-scene, free)

Authoring for QUALITY? Read film-maker-guides.md — the marvelous-effects playbook (parallax depth, the slice reveal, literal manim moments, caption safety, operator preferences). Use it whenever a video should look great, not just be wired.

Each scene in 01_script.json controls its own look — set by the script author/LLM:

• animator: kenburns (default) · motion-driftright|driftleft|driftup|driftdown|zoomin|zoomout|pulse · kinetic · parallax · blurred-parallax · slice · static · puppet · talkinghead · manim
• transition (into the scene): cut (default) · fade · wipeleft/right/up/down · slide* · circleopen/close · dissolve · radial · zoomin …
• transition_dur: seconds (default 0.4) · manim_code: vector animation body for animator:"manim"

Transitions are overlap-compensated → video stays synced to narration (no drift). animator applies to FREE scenes; AI scenes use fal-i2v (paid). Mix freely.

⚠️ RULE — parallax is for PERSPECTIVE / DEPTH scenery, NOT a big foreground subject. Author it on frames built from receding depth planes — sky & clouds (far), mountains / hills / a city skyline (mid), houses / trees / a road / terrain (near) — so the planes drift at different speeds and read as real 2.5D depth.

• 🚫 Do NOT use parallax on a frame that a human, animal, face, or one single object DOMINATES (takes most of the space). A big close subject has no depth to reveal and just floats as a flat cutout — it looks worse, not better. For a big/close subject use static, slice, or motion-drift* instead. A small figure inside a deep landscape is fine — it simply becomes the nearest plane.
• It NEVER cuts a subject out of a single still (the old auto rembg-cut tore frames — gone). Default (no plate): a clean full-image lateral pan over the whole vista — safe anywhere. Layered 2.5D (balanced+): studio run --tier balanced|premium (or studio visuals --parallax-plates) renders a separate scene_NN_bg.png plate that drifts behind the held near elements — two DIFFERENT images, real depth, no hole. For the strongest perspective, author 2–3 distinct planes (e.g. cloud layer / mountain layer / foreground) as separate PNGs, or use blurred-parallax for a free 2-plane sky-vs-ground depth. Compose the visual prompt as a landscape with clear distance (foreground, midground, horizon), not a portrait of one thing.

⚠️ RULE — pulse and kinetic are OFF by default; use only on explicit need.

• motion-pulse (breathing zoom) reads as twitchy/epileptic — never reach for it unless the user explicitly asks (same family as the banned zoomin/zoomout).
• kinetic bakes a big on-screen HEADLINE — use it only when a scene genuinely needs on-screen words (the hook, a shouted line, a title/outro card), and only over a text-free illustration (never a card, which doubles the text). For ordinary narrated/story beats use parallax / slice / motion-drift* / static instead — the spoken line (and captions, if on) already carries the words. Don't sprinkle kinetic as generic motion.

⚠️ RULE — any zoom effect (kinetic, pulse, ken-burns, motion-zoom*) must keep the image FILLING the frame at all times — never reveal white / black bars / empty canvas. Bound the zoom so it only ever goes from full image (widest) → zoomed-in (tightest), never wider than the full image:

• widest extreme = the whole image covers the frame (scale-to-cover, zoom = 1.0);
• tightest extreme = a zoomed-in crop; never zoom OUT past 1.0 (that exposes the background = white/empty).
• A kinetic headline always sits over the cover-filled still, never on a blank card. If a still doesn't match the aspect, it's cover-cropped (increase+crop), not letterboxed (decrease+pad) — padding shows empty bars. (Enforced in ffmpeg.kinetic.)

⚠️ RULE — keep RECURRING characters & settings visually CONSISTENT across scenes. Same-style is not enough: the doorkeeper must look like the same person every scene, the gate the same gate, an interior the same room — as in real continuity, not a new face/door each cut. The character style string only fixes the art style. For subject identity:

• Decide each recurring entity's canonical look once (the doorkeeper's exact face, beard, fur coat; the gate's exact shape/material; the hall's columns) and paste that same detailed description verbatim into every scene that shows it.
• And/or pass a --char-ref <image.png> to studio visuals (Nano-Banana edit model holds the reference identity); reuse one scene's good render as the ref.
• Author the scenario so each subject has a fixed description block reused across scenes, not a fresh ad-hoc description per scene.

Extra effects catalog (rain, snow, fire, fog, sunrise/sunset, water, film grain, glitch, god-rays, shape morphs, kinetic typography…): the bullet above lists what's wired. The full research-backed library is the effects index docs/30-animation/effects/, status-tagged:

• ✅ live (set animator:"…"); 🧩 author today via animator:"manim" + manim_code (morphs, kinetic typography, lightning, leaves — paste-ready snippets in effects/manim-effects.md);
• 🧪 recipe-backlog (drop-in ffmpeg filtergraphs in effects/ffmpeg-recipes.md); 🔬 research-only (shaders.md / particles.md).
• ⚠️ Never set a 🧪/🔬 name in animator — unknown names fall back to kenburns. Reach those via Manim or an ffmpeg post-pass; to wire one, follow effects → adding an effect.

Voice & tone: Script voice_name (man|woman|cartoon|narrator) + tone (neutral|serious|mystical|friendly|sad|excited|poetic); per-scene tone overrides. CLI: --voice man --tone mystical. edge approximates tone (rate/pitch, free); openai-tts gives real tone. See voices.md.

Poetry / spoken-verse is a special case where voice + tone IS the art — accents must land on the right words. Use narrate/voice --provider openai-tts --tone poetic (NOT edge: it only pitch-shifts, can't place accents; openrouter is script-only, no TTS). One scene per line/couplet + per-scene tone for line-level breath. Full preset: docs/recipes/poetry.md and guides §13.

Full references (read before authoring scenes or adding presets):

• Schema: docs/30-animation/scenario-schema.md
• Index + decision matrix: docs/30-animation/README.md
• Effects index (full catalog): docs/30-animation/effects/README.md
• transitions.md · motion.md · kinetic.md · parallax.md · slice.md · manim.md

Deps: parallax → uv pip install -e ".[parallax]"; manim → ".[manim]". Both fall back to kenburns (recorded in the manifest note) if a dep/render fails.

4. Observe the whole run

studio status $RID                 # table: stage / done / provider / cost / latency / note
cat runs/$RID/project.json | jq .  # raw manifest incl total_cost_usd
find runs/$RID -type f | sort      # every artifact produced

5. Cost control

• Stage 3 (video) dominates cost. Iterate cheaply on ① ② (cents) before rendering ③.
• Nano Banana image = $0.039 (verified). fal i2v per-clip is an estimate in the manifest — confirm against fal.ai's current pricing; refine after a pilot.
• Use --max-cost on studio run. Use kenburns + stub to dry-run wiring for $0.
• A 150s video ≈ 19–30 scenes by default; lower --duration while iterating.

6. Troubleshooting

7. After producing

Always: print the run id, the studio status table (providers + total cost), the master path (runs/<id>/06_final.mp4), and offer to publish or iterate a stage. For deeper rationale (model comparisons, pricing, tiers) point to docs/.