Run Guaardvark's five-role Film Crew locally: screenwriter, casting (Cast Library LoRAs), cinematographer storyboards, keyframe renders, editor. Turns a logline or screenplay into a finished short video with human gates at casting and storyboard. Use when the user says "film this", "make a short film", "storyboard this script", or "start the film crew".
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Run score Not tested
See how to installReview the instructions the agent will receive before you install.
Read setup first. Needs comfyui; casting with trained characters needs
lora_trainer (see the cast skill). Renders take minutes per shot.
start_film_crewscript_text: a screenplay or a plain scene list. A logline works; the screenwriter expands it.name (defaults to the first line), video_model (defaults to the active scene model,
minimax-h3-int8 on a typical box; wan22-5b for silent i2v).B=${GUAARDVARK_URL:-http://localhost:5000}, P = production id from the tool.
| stage | call | note |
|---|---|---|
| status | GET $B/api/production/$P | stage, subjects, shots, errors |
| subjects found by the writer | GET $B/api/production/$P/subjects | characters, environments, props |
| cast one subject | POST $B/api/production/$P/cast/<subject_id> with {"action": ...} | link to an existing Cast Library subject or plan a new one |
| confirm casting | POST $B/api/production/$P/casting/confirm | user gate: every subject needs a cast plan first |
| storyboard shot image | GET $B/api/production/$P/storyboard/shot/<shot_id>/image | review keyframes |
| redo one shot | POST $B/api/production/$P/storyboard/shot/<shot_id>/regenerate | |
| approve storyboard | POST $B/api/production/$P/storyboard/approve | user gate: releases the renders. A 409 with flagged_shots lists frames the curator flagged; show them, and resend with {"confirm_flagged": true} only if the user says to render them anyway |
| retry a failed stage | POST $B/api/production/$P/retry | |
| list / delete | GET $B/api/production, DELETE $B/api/production/$P |
Without the MCP tool: POST $B/api/production with {"name", "script_text", "settings": {"video_model": "..."}}.
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Build consistent characters, environments and props in Guaardvark's Cast Library and train LoRAs for them locally (reference photos → vision bible → sample plan → approved samples → training). Use when the user wants the same face or object across images, videos, a music video, or a Film Crew production, or asks to "train a LoRA".
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Code intelligence over repositories Guaardvark has indexed: semantic code search, exact-text search, file listing, PageRank repository map, import dependency graph, reading one class or function, analysis and generated rewrites, plus the System Mapper and self-improvement status. Use when the user asks where something is implemented, how modules depend on each other, or wants an architecture map of an indexed repo.
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Generate or edit images on the user's own GPU through Guaardvark: single images, instruction edits, background cut-outs, inpaint and outpaint, consistent characters from the Cast Library, and batch runs of many prompts. Use when the user asks to create, draw, render, visualize, edit, or batch-generate images locally.
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Answer from the user's own indexed documents with Guaardvark's local RAG, browse and read indexed files section by section, remember facts across sessions, and process or fetch new material. Use when the user asks what their documents say, wants a source-cited answer from their files, says "remember this", or asks to index a PDF, DOCX, spreadsheet, image or URL.
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Add any Hugging Face image or video model, checkpoint or LoRA to Guaardvark from a URL, list what is installed, and download registry models on request. Use when the user pastes a huggingface.co link or a .safetensors URL, asks "can it run <model>", or wants a new LoRA or checkpoint available in the Studio.
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Generate full songs with vocals or instrumentals (ACE-Step) and sound effects or ambience (Stable Audio Open) on the user's GPU through Guaardvark's Audio Foundry. Use when the user asks for a song, a beat, a jingle, background music, or a sound effect, made locally with no subscription.
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