Narration and text-to-speech on the user's machine through Guaardvark's Audio Foundry (Chatterbox, Kokoro, Piper) and consent-gated voice cloning from a reference clip. Use when the user wants a voiceover, narration of a script, a spoken line, or "make it sound like this voice".
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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. Expressive voices need the audio_foundry plugin running;
Piper works without it. B=${GUAARDVARK_URL:-http://localhost:5000}.
| engine | route | when |
|---|---|---|
| Chatterbox | Audio Foundry backend: "chatterbox" | expressive, emotion presets, cloning |
| Kokoro | Audio Foundry backend: "kokoro" | fast, clean, 10+ built-in voices (af_heart default) |
| Piper | /api/voice/text-to-speech | offline fallback, no GPU |
GET $B/api/audio-foundry/voices lists what is installed. GET $B/api/voice/voices lists Piper voices.
Over MCP, call generate_speech (text up to 3000 characters, optional voice such as
af_heart, engine auto | kokoro | chatterbox); it waits and returns the file with a download
link. Cloning is not offered over MCP. Without MCP, or for the Chatterbox knobs, use REST:
curl -s -X POST $B/api/audio-foundry/generate/voice -H 'Content-Type: application/json' -d '{
"text": "The line to speak.",
"backend": "auto", # auto | chatterbox | kokoro
"voice_id": "af_heart", # Kokoro voice, or omit
"emotion": "calm", # Chatterbox preset, or omit
"exaggeration": 0.5, "cfg_weight": 0.5, "temperature": 0.8, # Chatterbox knobs, optional
"seed": 7, "output_format": "wav", "async": true
}'
path, document_id). With "async": true or long
text you get 202 {"job_id"}: poll GET $B/api/audio-foundry/jobs/<job_id> until status
is done; the result has path and document_id. Cancel: POST .../jobs/<job_id>/cancel.POST $B/api/voice/narrate
{"script": "...", "engine": "kokoro", "voice": "...", "pause_between_sections": 0.6, "output_format": "wav"}.POST $B/api/voice/text-to-speech {"text", "voice": "libritts"} returns audio_url.curl -s -X POST $B/api/audio-foundry/voice-clips/upload -F file=@/abs/path/ref.wav -F name="Narrator sample"
GET $B/api/audio-foundry/voice-clips lists clips."backend": "chatterbox", "reference_clip_path": "<that path>".auto falls back to Kokoro on a Chatterbox error.data/outputs/; they also appear in the Audio library page.还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。
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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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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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