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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查看安装方法安装前可以查看交给 AI 代理的指令内容。
Read setup first; training needs the lora_trainer plugin (CUDA, bf16) and an
installed train-ready base (Z-Image, SDXL or FLUX family). B=${GUAARDVARK_URL:-http://localhost:5000}.
curl -s -X POST $B/api/cast-library/subjects -H 'Content-Type: application/json' -d '{
"kind": "character", "name": "Mara", "description": "late 30s, short grey hair, freckles",
"trigger_word": "mara_v1", "voice_id": null
}'
kind is character, environment or prop. GET $B/api/cast-library lists subjects; the
numeric id is what generate_image and batch routes take as subject_ids.curl -s -X POST $B/api/cast-library/subjects/$ID/upload-refs -F files=@1.jpg -F files=@2.jpg
Ask first whether the person consented; do not train on someone who has not.POST $B/api/cast-library/subjects/$ID/bible/from-refs
(the vision model writes the identity description that every prompt inherits).POST .../$ID/plan then POST .../$ID/generate
(cancel with .../generate/cancel). Review GET .../$ID/samples; view one with
GET .../samples/<sample_id>/image; drop bad ones with DELETE .../samples/<sample_id> or
POST .../samples/<sample_id>/regenerate.POST .../$ID/samples/approve.POST $B/api/cast-library/subjects/$ID/train with optional
{"training_settings": {...}}. A 409 already_training means wait; a
train_base_not_ready error names the base model to install first. Cancel: .../train/cancel.
Progress: GET $B/api/cast-library/subjects/$ID (status, base model, LoRA path when done).generate_image with subject_ids=[ID]; batch image/video routes with
subject_ids; the Film Crew casts it; the music-video Director locks it per cut.inspect_gpu for conflicts first.subject_ids is passed; the user does not need
to type it.data/.还没有评价。欢迎分享你的使用感受。
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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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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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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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