com.thefilmradar/filmlab · v1.1.1 · ai-and-media
FilmLab is healthy: it completed an MCP handshake in 2205 ms and exposes 122 tools.
AI film lab for filmmakers: generate and review images/clips with input provenance, cost preflight
Endpoint: https://mcp-lab.thefilmradar.com/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 122 |
| Latency | 2205 ms |
| Last checked (UTC) | 2026-10-16T00:45:11.949Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-10-16T00:45:11.949Z | Healthy | 2205 | |
| 2026-10-14T22:20:33.883Z | Healthy | 1650 |
lab_list_projects | List FilmLab projects (id, title, current pipeline stage). Call this first to find a project_id for the other tools. Shows up to 20 items; `total` counts your active projects (up to 200) and `truncated: true` means the list is cut off — sorted by last change, so older projects drop out of the shown |
lab_wissen | Use when the person asks a film-craft question: what a term means, which rule or convention applies, how something is usually done in camera, editing, sound or production — answer from here, not from memory. Ask the FilmOS knowledge layer — measured craft knowledge from vetted sources, with the KNOW |
lab_widerruf | 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 |
lab_playbook | The rules of one working surface, generated from the code: what the surface is, what an agent can trigger itself, what exists but only by hand, and what does not exist at all. Call this BEFORE answering what is possible on a surface — the three lists come from a table with a code reference per entry |
lab_list_models | The model catalog: what every video or image model can do — resolutions, durations, aspect ratios, audio, reference limits, price per second or per image — grouped by capability class with a one-line explanation per group. Read this before choosing a `tool` for lab_generate/lab_animate/lab_propose; |
lab_regie_techniken | Use when the person asks HOW to stage or shoot a feeling or effect (which angle, movement, framing or light makes a scene feel tense, tender, triumphant, uneasy) or wants directing options for a shot. Directing techniques: camera angle, framing, composition, movement and lighting, each with the emot |
lab_whoami | 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 |
lab_get_state | One call, the whole picture: account (tier, credits, reset), default models with price, jobs in flight, catalog freshness, project count. Pass project_id for that project's sequences, assets and review-queue length. Read-only, free. |
lab_get_project | Use when the person asks where a project stands: its current stage, what is finished, what comes next, or wants the project's state before continuing. Get a single FilmLab project with its full stage state. Needs the project_id (from lab_list_projects). |
lab_zielgruppe | 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 whol |
lab_get_context | Read the accumulated context/output for one pipeline module of a project (e.g. the IDEE, STORYBOARD or SHOTS stage). Needs project_id and module name. |
lab_get_job | Get the status of a background job by job_id (status is queued|processing|done|failed). Poll this after starting a long-running generate/export. Returns the job record; its payload and result are objects (for a clip chain: result.zusammenfassung, result.ketten, result.clips). For an Umzug import (la |
lab_search_catalog | Search the FilmLab universe catalog of AI tools, news and companies. Query must be at least 2 characters. Returns up to 20 matches with a total count. |
lab_create_project | Create a new FilmLab project. Returns the new project id. Optionally set a title. |
lab_run_module | Run ONE pipeline module for a project (context is injected from upstream modules + crew agents). SYNCHRONOUS and LLM-heavy: light modules return in seconds; heavy ones can exceed ~55s and then time out (504) — run those in the FilmLab web app instead. Pass an invalid module name to get the list of v |
lab_generate | Generate an image on the production pipeline (fal.ai, quota-tracked, persisted to the project's gallery). Waits up to `wait_s` seconds (default 45) for the image and then answers with the finished rows — image_url set, inline previews attached, so the picture is in the answer like lab_job_status wit |
lab_animate | Animate a completed image into a clip with a video model. Pick the model from lab_list_models; check the price with get_cost or let the user confirm a card via lab_propose. Costs credits when called without get_cost. |
lab_animate_batch | Animate MANY images into videos in ONE call (max 25 jobs). Prefer this over looping lab_animate: it validates every job BEFORE spending any quota, so an invalid job 12 of 15 does not leave 11 paid-for generations running. Quota is spent once, collectively (one ledger row); refunds stay per-clip, so |
lab_propose | Propose a generation for the user to confirm: validates the parameters against the catalog, computes the price, and shows a card (widget hosts) or returns the same object as text. NOTHING runs until lab_run_proposal is called with the returned vorschlag_id — by the card's button, or by you after the |
lab_run_proposal | Run a proposal exactly as shown — same model, same parameters, same price. Called by the card's button, or by you after the user confirmed. Single use: the proposal is consumed BEFORE the run, so a second call is refused instead of paying twice. Valid 15 minutes, for the account that created it. Cos |
lab_list_locations | List location boards, newest first — START HERE to find a `location_id` for lab_generate / lab_animate. Each entry carries its `prompt_prefix_en`: that is the exact text appended to your prompt as 'Location: …', so you can judge whether the board fits BEFORE spending quota. A board with an EMPTY pre |
lab_get_location | Get ONE location board in full — all descriptive fields plus its reference images and `prompt_prefix_en`. Use it to check what a board actually anchors before generating with it. |
lab_list_project_locations | Location boards bound to ONE project. Narrower and more correct than lab_list_locations when you already know the project: it cannot leak boards from a different project with the same title. Boards created before the project binding existed (project_id NULL) deliberately do NOT appear here — use lab |
lab_create_location | Create a location board. The backend derives an English `prompt_prefix_en` from the fields you give — that prefix is what later anchors every image and clip shot there, so the richer the description, the more consistent the place. Pass project_id to bind the board to a project (recommended: unbound |
lab_generate_location_variants | Generate time-of-day reference images for a location board (costs credits per variant — check the price with get_cost first). Without `variants` the backend renders all four. The images are what makes a board usable as a visual reference. |
lab_enrich_location_prefix | Append context to a board's `prompt_prefix_en` (plain string concatenation server-side — no AI call, no quota). Idempotent: context already present in the prefix is not duplicated. This does NOT rewrite or regenerate the prefix — for a board whose prefix is empty, too thin or a raw field dump, use l |
lab_restyle_location | Restyle an existing board towards a wish (costs credits — exact price via get_cost: true) — same place, different look, e.g. 'the same flat, twenty years later'. Changes the board itself, so images generated afterwards follow the new style. Also the repair path for a board whose prompt_prefix_en is |
lab_location_panorama | Generate a 360° equirectangular HDRI panorama of a place (costs credits — exact price via get_cost: true). Pass loc_id to persist it on that board, so the viewer finds it again; without loc_id it is a one-off. |
lab_analyze_location_image | Read a photo and extract location fields from it (Gemini Vision, costs credits — exact price via get_cost: true). Returns the fields — it does NOT create a board; feed the result into lab_create_location yourself. Note the payload: the image travels as base64 inside the call, so keep it small (a dow |
lab_delete_location | DELETE a location board permanently. There is no undo and no soft-archive — the row is removed. Images and clips that were generated with this `location_id` keep their already-rendered prompt, but the board they point at is gone: nothing can be re-anchored to it, and lab_get_location will 404. Confi |
lab_list_characters | List the character sheets in the FilmLab cast register (id, name, age, gender, project_name, prompt_prefix_en). Call this BEFORE lab_generate whenever a person must look the same across several images: pass the id you find here as `character_refs` instead of re-describing the person in every prompt. |
lab_get_character | Get ONE character sheet in full — every descriptive field plus the three that decide what you can do with it. `prompt_prefix_en` is the text block describing this person; it is what the backend prepends wherever the sheet is used. `reference_images` decides whether the sheet is usable at all: lab_ge |
lab_create_character | Create a character sheet for a human, animal or creature in the cast register. The backend derives an English `prompt_prefix_en` from the fields you give — that prefix is what later describes this character in every image, so the richer the description, the more stable the identity. This is step 1 o |
lab_generate_character_reference | Generate the reference sheet for a character — six core views rendered from the sheet's `prompt_prefix_en`: detail (three-quarter close-up, the identity anchor), frontal (frontal close-up), profile, fullbody (front), fullbody_back (back view: hair and the back of the costume) and costume (the outfit |
lab_get_character_sheet | The character sheet PREPARED FOR PROMPTING: base prefix, the state sheets by name, which reference views exist, and the ready-made sentence to paste into a lab_generate prompt. Same source as lab_get_character, different shape — use this one when you are about to generate, and lab_get_character when |
lab_cast_gaps | Find people who appear in a project's material (script / cast module) but have NO character sheet yet. Returns up to 6 `missing` entries, each with a name and a short hint from the text. It creates nothing — lab_cast_autopopulate does that. Costs an LLM run, so it is credit-gated. Fail-open by desig |
lab_cast_autopopulate | Create character sheets for the people found in a project's material — the writing counterpart to lab_cast_gaps. Creates at most 6 per call and binds each to the project. Costs an LLM run per call. Run lab_cast_gaps first if you want to see what it would create. The sheets it creates have NO referen |
lab_create_sequence | Create a sequence (Stage 9 timeline) inside a project — START HERE to turn generated shots into something the continuity pass can read. The new sequence is EMPTY: add shots with lab_add_clip before anything else works. lab_continuity_check rejects an empty timeline with 400. Returns the sequence rec |
lab_list_sequences | List a project's sequences, newest first. Use it to find a `seq_id` instead of creating a second sequence for the same cut. |
lab_schnitt_export | Export ONE sequence as an editing file for DaVinci Resolve, Premiere or Final Cut, so the cut can be finished there. Costs nothing. fcpxml (recommended for Resolve): V1 as the main storyline with gaps, the sequence's transitions as centered cross dissolves (dropped where the next clip has no head or |
lab_get_sequence | Get ONE sequence in full — timeline (the shots in order), audio_tracks, transitions, duration_seconds and render status. Check `timeline` here before starting a continuity pass: an empty one is the single most common reason the pass refuses. |
lab_shots | Read the SHOT layer of a sequence — which clips form one shot, which scene it plays in, who is in it, and what the continuity pass found. This is the layer above the timeline: lab_get_sequence gives you clips in a row, this one gives you the cut. Costs nothing, writes nothing. Use it before changing |
lab_shots_ableiten | Derive the shot layer from what the clips already say about themselves — consecutive clips of the same scene become one shot, and a scene that returns later becomes a second one (one location cut into twice is two shots). Costs nothing: it groups rows and reads titles, it generates nothing. Titles c |
lab_aufloesung | Break one scene down into a STRUCTURED shot list of 2, 4 or 6 shots — each with shot size, camera angle, purpose and its own ready prompt, plus one shared floor plan (anchor, axis, light) so the shots cut together. Two families: an 'aufloesung' shows ONE moment from several angles (coverage, dialog, |
lab_shots_setzen | State the shot cut yourself: which clips form one shot, what it is called, which scene it plays in. This is the counterpart to lab_shots_ableiten — that one groups by the scene the clips already name, this one is for the judgement no field carries. Costs nothing. Use it where derivation cannot reach |
lab_fassungen | Use when the person asks about earlier states of a cut, wants to go back to a previous version, compare versions, name a version, or create a second cut (e.g. a short version next to the long one). The history and the versions of ONE cut (sequence). Every timeline write (lab_timeline_apply, the edit |
lab_add_clip | Append a shot to a sequence's timeline. Call it once per shot, in cutting order — `start_time` is computed from the clips already there, so appending in order is enough. The continuity pass reads exactly this timeline: a shot missing here is a shot nobody checks. Returns the new clip's index and the |
lab_timeline_apply | Write a WHOLE cut into a sequence in one call — clips in order with their lengths, an optional dissolve between them, an optional bed underneath. This is the counterpart to lab_get_sequence: that one reads the timeline, this one writes it. Prefer it over a chain of lab_add_clip calls whenever you al |
lab_continuity_check | Start the continuity pass over a sequence — every shot is compared against its PREDECESSOR and, with check_references, against the character and location reference boards. This is the pass that catches drift (the flat that changed between two shots, the cardigan that turned into a coat), which is th |
lab_identitaet_pruefen | Check whether still images of a project show the SAME character as its character sheet — before paid clips are made from them. Each image is compared against the sheet's detail and fullbody views. It judges identity (species, build, colouring, head shape, large markings), NOT style, light, pose, pla |
lab_beat_clips | Turn the still-image clips of a sequence into video clips that exactly fill their beat-snapped slots. Free — this tool itself generates nothing. aktion plan: one job per image clip, ready for lab_animate_batch — start image, the frame's motion (bewegung_en), and the SMALLEST duration the model can d |
lab_rezept_montage | The Montage recipe: one recurring character in 8–16 independent everyday gags, cut on the beat into a 9:16 reel of about 6–11 seconds with a music bed. It runs the existing steps in order — gags (lab_situationen), stills with the character and the phone-flash look (auto-storyboard 9:16), identity ch |
lab_contact_sheet | Build a contact sheet for a generated clip — N frames spread evenly over its runtime, tiled into ONE image — and show it. This is how a clip gets judged at all: MCP has no video content type, so without a sheet a clip is just a URL and a promise. It is also the fastest way to SEE camera drift: measu |
lab_bilder | See a clip at EXACT seconds: up to 12 frames, in the order you list them, tiled into one image and shown. Use it to check what is on screen where you plan a cut, whether a motion has ended, or whether a face drifted between two moments — lab_contact_sheet spreads frames evenly and cannot answer 'wha |
lab_capture | See the CUT at exact seconds of the finished film: up to 12 frames, tiled into one image and shown. Each second is mapped like the export maps it — which clip is on screen, where in its source (src_in_s counts), the export's framing (scaled and letterboxed), title cards drawn. A video whose source i |
lab_render_frames | See the DELIVERED film: up to 12 frames from the finished export (lab_start_export → lab_get_export status done), tiled into one image and shown. This is the rendered picture WITH everything the render adds — lens/grade, lower thirds, title cards and the AI badge — so use it to check the result, e.g |
lab_feedback | Tell the FilmLab team about a bug or a missing feature — it reaches the people who can fix it, the chat does not. Use art 'fehler' when a tool returned something wrong, failed without a clear reason, or contradicted its own description; 'wunsch' when a step you needed does not exist. Write what you |
lab_wellenform | 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 |
lab_wortzeiten | 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 |
lab_review_asset | Review generated assets: set verdict (accepted|rejected|pending) and/or selected. Pass ONE id, or `ids` for a bulk review — after a generation run there are usually dozens to sort, and clicking through them one by one is why the review fields went unused. Rejected assets drop out of the default list |
lab_auto_lauf | Auto run with a hard spending cap: the person approves ONE run with an upper limit in credits; inside it you may generate without asking per item, but never above the cap. aktion: anlegen (project_id + deckel_credits → status 'angelegt', nothing can be spent yet) · freigeben (ONLY after the person e |
lab_verkettung | 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, preis_hoechstens_cre |
lab_letzter_frame | Extract the LAST frame of a finished clip as a new image (returns image_id, image_url, zu_dunkel). Use it as source_image_id to continue one unbroken take, or as a still. A frame that is too dark (zu_dunkel: true) makes a bad start image — say so instead of animating from black. Free (no credits). C |
lab_abgleich | Prompt check of ONE generated image or clip: does the result show what its prompt asked for? The backend first DESCRIBES the result without seeing the prompt, then splits the prompt into checkable claims (counts as digits, quoted text, identity, place, framing, style; for clips the motion) and score |
lab_review_queue | Browse GENERATED rows (images or videos) — newest first, each with the INPUTS it ran on. Every row carries `inputs[]` (start/reference images, reference videos, character refs — role + url) and `params` (model, mode, resolution, seed…). Read those before comparing two runs: a run without its inputs |
lab_batch_status | Aggregated progress of a video batch started by lab_animate_batch. Returns {total, completed, failed, pending, done, items[]} — poll this ONCE per batch instead of calling lab_job_status per clip. `done: true` means nothing is pending any more (some items may still have failed). Each item carries re |
lab_jobs_inflight | Are any FilmLab generations running RIGHT NOW, across ALL projects? Use this before anything that restarts the backend (a deploy recreates the container and kills running jobs, losing paid credits), or to answer 'is the lab busy?'. Unlike lab_job_status/lab_batch_status this needs no id — it lists e |
lab_job_status | Poll the status of an image or video generation started by lab_generate/lab_animate. There is no single-item status endpoint on the backend — this fetches the project's full image/video list and filters by id, so it needs BOTH project_id and id (the id alone is not enough). status inside the returne |
lab_situationen | Suggest independent visual gags for a character and theme. Free text generation, no images or credits spent. Returns anzahl entries with titel, bild_en and bewegung_en: one moment and one strong action each, no story sequence or references between entries. figur accepts a character-sheet id (uses it |
lab_auto_storyboard | Auto-generate a storyboard from either script OR situationen (mutually exclusive). An LLM splits script into scenes; situationen bypasses that LLM entirely and generates exactly one frame per entry, ignoring max_scenes. situationen requires figur_id of an existing character sheet with a reference im |
lab_export_profiles | List the available export delivery profiles (web, social_vertical, social_youtube, streaming_hdr, cinema, master, alpha_prores4444, alpha_png_sequence) and quality presets (draft, standard, high). Call this before lab_start_export to pick a valid profile/quality. The two alpha profiles keep transpar |
lab_start_export | Start an ASYNC export render of a project sequence. Returns a job_id immediately (status 'queued') — does NOT block. Then poll lab_get_export with that job_id until status is done|failed. Needs the sequence_id to render (an integer from the project's sequences). `derivatives` asks for extra cut-down |
lab_prompt_transform | Turn a loose idea into a production-ready image or video prompt — the same Dreamer engine the FilmLab web UI uses (modes: beautify, storyboard, polish, format, shorten, expand, simplify, custom, stiluebernahme). beautify GENERATES (a 50-character thought comes back as a full prompt); polish/format/s |
lab_vfx | 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 chan |
lab_vfx_status | 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. |
lab_vfx_preset | Run a video VFX preset on a whole clip. Today only 'gesichter_verpixeln' (pixelate every face) is live. Costs credits per frame — call with dry_run=true first to see the price. With rerender_from (a finished job_id) it re-renders for free with other settings, e.g. exceptions: object ids that stay sh |
lab_vfx_preset_status | Poll a video VFX preset job. status is queued|proxy|spur|render|done|failed; progress shows frames done. When done: result_url is the finished clip (give it to the person as karte_ansehen), kontakt_url is the review contact sheet, spur.objekte lists detected faces with ids usable as exceptions in la |
lab_grade | Apply a deterministic colour grade to an image already in the project gallery — no re-generation, no provider, no credits. The look is computed pixel-exact (exposure, saturation, hue, lightness, contrast, film grain) and lands as a new gallery image the sequencer and export pick up. For full control |
lab_grade_suggest | Suggest a grade look for a project — read-only, no cost. With image_id, includes the image prompt; without it, uses only the colorist crew brief. Returns a recommended look name with a reason and alternatives; apply it with lab_grade(look: …) once the user agrees. |
lab_grade_from_resolve | Suggest a FilmLab grade look from a Resolve LUT name or path — read-only, no cost. First call resolve_node_graph_lesen on the local FilmLab bridge (filmlab_bruecke_mcp.py), a SEPARATE MCP server, and pass its lut field here. The agent connects these two calls: this Cloudflare Worker cannot reach the |
lab_depth_map | Create or read a depth map for a project video in FilmLab: use it for fog, depth of field, relighting or occlusion. Near is white, like Resolve's Depth Map. Free on our own CPU, no credits; processing takes minutes. modell: v2 (default) is Depth Anything V2, sharpest edges. vda is Video Depth Anythi |
lab_dossier | Build a dossier of a project's takes: one ZIP with an offline index.html (no external resources) plus the media files, named Project_SceneNN_YYYYMMDD-Tnn.ext. modus 'kunde' is for a client and NEVER shows seed or costs, whatever the switches say; 'intern' shows everything that helps to rebuild a tak |
lab_get_dossier | Poll a dossier job by job_id (from lab_dossier). status is queued|processing|done|failed. When done, result.archiv_url is a signed https link to the ZIP that loads WITHOUT a login and expires after 24 h — call again for a fresh one. result.fehlend lists takes that could not be loaded. |
lab_get_export | Poll an export render job by job_id (from lab_start_export). status is queued|processing|done|failed; when done, the result (output url) is included. Call repeatedly until done|failed. NB: this is the EXPORT poll — different from lab_get_generation. Where the address sits depends on the profile: a r |
lab_list_exports | List past export jobs for a project (each with job_id, status, profile). Returns up to 20 with a total count. Finished rows carry the same signed, login-free result addresses as lab_get_export (download_url, herkunft.pdf_url, …; valid 24 h). |
lab_add_media | Bring your own video, audio or image into a project — not generated, yours. Two ways: `media_url` (a public http(s) address; the server fetches it, max 100 MB) or `file_name` + `content_type` (you get a signed `upload_url` and the `header` that are part of its signature: PUT the file's raw bytes the |
lab_umzug | Bring Midjourney exports into a project (FilmLab calls this 'Umzug'). Midjourney has no API, so the person downloads their images or ZIP and this tool carries them on. Give EXACTLY ONE of: `dateien` (names/types/sizes of local files → signed PUT addresses with a ready curl line; PUT the raw bytes, t |
lab_referenz_aus_bild | Attach an existing project image (an image_id from lab_umzug, lab_get_job result.bildzeilen or lab_generate) as reference: `ziel: 'figur'` makes it a view of a character (default view 'detail', the face anchor). `personenbezug` is REQUIRED for a character and has no default: 'keine_reale_person' or |
lab_herkunft | Declare or list where a project's material comes from: 'eigen' (made by people) or 'ki' (AI-generated or AI-altered). Exports decide the EU AI Act Art. 50 disclosure per clip from this — undeclared material counts as AI. With asset_key + herkunft: declare (the file is checked for an AI mark; one fou |
lab_list_assets | List a project's media assets (image/video/audio) with their URLs. Optionally filter by asset_type. Returns up to 20 with a total count. Each row carries its address as `url` (with `type` and `key`). Project assets come back as SIGNED addresses on https://thefilmradar.com/api/lab/assets/abruf/… — va |
lab_generate_music | Generate a MUSIC track for a project (Stable Audio via fal.ai) — the first step of the rhythm chain, and the only one that costs credits. ASYNCHRONOUS: the call returns immediately with a row whose `audio_url` is null and `metadata.status` is 'pending'. Nothing is playable and nothing can be bound y |
lab_sfx | Generate or CLEAN UP a SOUND track other than music — sound effects, ambience/atmosphere, dialog, a voiceover, FOLEY scored to an existing clip, or the repair kinds that take an EXISTING recording apart instead of inventing one: denoise (take the noise out), split (separate it into stems), isolation |
lab_list_audio | List a project's generated audio rows, newest first — this is the POLL for lab_generate_music. Read two fields: `metadata.status` ('pending' | 'completed' | 'failed') and `audio_url`. A pending row has no url, and nothing downstream works with it: lab_bind_audio silently leaves the track empty (reso |
lab_bind_audio | Bind the project's generated audio to a sequence's tracks — ONE call that does both halves of the job, because doing only the first half silently produces a silent film. Half one (`POST …/soundmix`) creates the four empty tracks (dialog, music, sfx, atmo); half two (`POST …/soundmix/resolve-stems`) |
lab_mix | Set the sound mix of a sequence: per track `volume_db`, `pan`, `mute`, `solo` and `effects`. Every field you send is rendered — the backend rejects what it cannot render (422 with the reason), so a saved mix is the mix you hear. Tracks are the stems `dialog`, `music`, `sfx`, `atmo`, plus `master` (e |
lab_mix_render | Render the sequence's mixdown, normalised to a loudness target: `broadcast` (EBU R128), `web` or `youtube`. With `auto_preset` it runs the AUTO-MIX instead: it measures every stem speech-gated (under the dialog vs. in its pauses), sets faders, ducking and a master limiter by the preset (`spielfilm`: |
lab_mix_messen | Measure the RENDERED mix: integrated loudness (LUFS), true peak (dBTP) and loudness range (LU) of the master, measured on the mixdown file itself. Per stem the same values, speech-gated (under the dialog / in its pauses), and how many LU each stem sits under (or over) the dialog in dialog passages — |
lab_stems_export | Hand the sound over to whoever mixes next (Resolve/Fairlight, Pro Tools, a dubbing studio): every stem of the sequence (dialog, music, sfx, atmo) as a 24-bit / 48 kHz stereo WAV, rendered the way it goes into the mix — effects, fader, pan and ducking baked in — plus an M&E file (music + effects + at |
lab_grade_clip | Set the colour grade of ONE clip in the edit (Murnau), or of the whole programme with `programm: true`. It is the same grade a colourist sets in Murnau's colour workspace, and the export uses it: Murnau bakes the export LUTs when you set it. Only the fields you send change (`zuruecksetzen: true` sta |
lab_scopes | Measure ONE clip of the edit as numbers instead of a picture: a frame is rendered through the clip's export path (input profile, grade LUT, secondary correction) and measured — luma percentiles (P1/P50/P99, Rec.709), mean R/G/B, green excess (G minus the mean of R and B: >0 green cast, <0 magenta), |