FilmLab

Render several clips as CHAINS: within a scene one after another (continuity), across scenes in parallel (speed) — the plan follows scene_ref of each job in order. aktion: plan (free: shows the chains) · preis (free: same checks as a real start; returns preis_geschaetzt_credits and `reicht` against balance, project cap and an active auto run — nothing is created) · starten (COSTS CREDITS, ONLY after the person confirmed the price from aktion=preis). Each clip is charged when it starts; an active lab_auto_lauf cap applies. The FIRST clip of every chain needs an approved start image (keyframe checkpoint, as in lab_animate) unless ohne_keyframe; later clips derive from the chain. Sending starten twice returns the running chain (wiederverwendet: true) instead of paying twice. Transition between clips of a chain (uebergang): schnitt (default) = hard cut to a NEW camera angle — the next clip does NOT start from the last frame; its prompt begins with the previous clip's end state (wardrobe, props, place, light), characters and location come from each job's own character_refs/location_id. durchgehend = the last frame becomes the start image — only for one unbroken take. Follow a started chain with lab_get_job(job_id): result.zusammenfassung (laeuft/fertig/abgebrochen), result.ketten (status and grund per chain) and result.clips (keyed by clip index: video_id, status, fehler_klasse). Job status done only means nothing runs any more — check result.zusammenfassung.abgebrochen before reporting success. A failure stops only its own chain. Dispatch rule: continuous scene → one chain with schnitt; one unbroken motion → a single clip ≤ 15 s, else durchgehend; separate scenes, time jumps, costume changes or montage → separate scenes (parallel). Over ~3 minutes total: suggest narrowing the scope first.

Run a VFX operation on an image already in the project gallery — the same pipeline the Resolve bridge uses. inpaint (clean plate: what is inside the box disappears, the surroundings close over it) · replace (same path, other intent: something new goes into the box) · relight (no box — the light changes across the whole frame; by default the scene stays exactly as it is, licht_weg 'iclight' instead repaints the background and may change the scenery) · mask (no box — you describe what should be cut out and get the matte back). inpaint/replace need `box` AND `prompt`; relight needs `light_preset` or `prompt` and REJECTS a box; mask needs `prompt` and REJECTS a box too. `box` is given in FRACTIONS of the image (0..1), not pixels — the worker builds the mask. inpaint/replace start at 5 credits per run on the reference area (larger areas cost more); relight costs 4 flat per image (licht_weg 'iclight': from 9, by area); mask costs 1, flat per request. Returns immediately with an operation_id; poll lab_vfx_status until status is done|failed. NOT offered here: composite, move, color_grade — the server knows them and has no consumer for them.

Poll a VFX operation started with lab_vfx. status is pending|processing|done|failed; when done, result_url carries the finished image. Call repeatedly until done|failed — an image run usually takes under 30 seconds.

Clone a voice from real audio or video material into a project (fal.ai minimax voice-clone) — the source for lab_voice_tts and for lab_dub's voice_id+dub_text path. SYNCHRONOUS: the clone runs inside the request and can take a while to return; there is no job_id to poll. The source needs a clean speech track of workable length — too short or silent material is rejected before anything is spent. Voice cloning from real material is consent-sensitive: only clone voices you have the right to use, and the Fish Audio path requires you to say so explicitly.

Speak text in a project's cloned voice (via lab_voice_clone) — SYNCHRONOUS, returns a ready audio_url, no job_id. The voice house is whichever one cloned this voice; you do not pick it here. Consent-sensitive like the clone itself: only speak text you have the right to put in that voice's mouth.

Read the sound of a clip (video_id), an audio track (audio_id) or an uploaded file (project_id + asset_key from lab_add_media) as numbers: peak level 0..1 per channel, 16 values per second, up to 60 s per page. Use it to find where music or speech starts, where silence is (below `stille_unter`), and whether a cut lands on a beat or mid-word — before you move cut points. Continue with `weiter_von_s` for the next page. Read-only, free.

Who is connected: the FilmLab account (email, user id, name, tier, credits) and how this connection signed in (oauth, oauth_geraet, bridge_key, legacy service user, or anonym). For a device sign-in it also lists the device limits (projects, credits, end date). Call it when results look like someone else's — two clients signed in with two accounts see different projects. Works without an account. Read-only, free.

Record a correction in the FilmOS knowledge layer when the user contradicts something you asserted from it. Use this the moment a contradiction is stated — not at the end of the session, and not instead of accepting the correction in your answer. It stores the claim AND what is actually true, owned by the user who said it, so lab_wissen surfaces it first next time. It does not delete anything: a deleted false claim returns with the next ingestion, a corrected one does not. Quote the user's own wording for `korrektur` where you can.

Ask the FilmOS knowledge layer — measured craft knowledge from vetted sources, with the KNOWN CORRECTIONS first: documented false assumptions plus what is actually true. Call this before asserting a craft fact you did not measure yourself in this session. Every hit carries its source and its usage_policy; quote within that policy and name the source. An empty result means nothing matched — it never means the claim is true.

Every spoken word with its start and end time, for a clip (video_id), an audio track (audio_id) or an uploaded file (project_id + asset_key). Use it to cut pauses without cutting into a word, to time captions, or to land a graphic on an exact word — instead of guessing seconds from the waveform. Up to 20 min of sound per source; the first call transcribes (Fish Audio, about 0.36 USD per audio hour, booked to the operator, not your credits), every later call for the same sound is served from the cache for free. Returns at most 300 s of words per page; continue with `weiter_von_s`. Speech recognition spells names the way they sound — check names before you put them on screen.

Read or set a project's audience (zielgruppe) and target markets (zielmaerkte). With project_id only: read. Set zielgruppe 'kinder' or 'jugendliche' whenever the project is made for children, families or teenagers — do it BEFORE creating characters or generating. That switches on blocks for the whole project: the adult mode is off even for unlocked accounts, real people are refused (likeness photos, voice clones, lipsync with a consent id, digital doubles as characters), generation stops instead of running unchecked when the content check is down, and the export must mark the whole film as AI. Setting it fails with a readable conflict while a digital double sits in the cast — take it out first. An empty string clears the audience. zielmaerkte (ISO country codes of the researched European countries plus 'EU'; 'UK' is accepted for GB) blocks nothing: it adds a checklist per country of what the customer must observe when delivering there (age rating scale, national AI label, registration duties for creator channels, advertising rules, warnings). The list replaces the previous one; an empty list clears it. The answer always carries zielgruppe, zielmaerkte, zielgruppe_regeln (the active blocks as sentences) and zielmarkt_checkliste — pass the checklist on to the person, it is not legal advice.