Upscale images and video 2x to 4K/8K on the user's GPU through Guaardvark (Real-ESRGAN, HAT-L, SwinIR, two-pass). Use when the user asks to enlarge, sharpen, restore, or upscale a picture, a batch of pictures, or a video.
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See how to installReview the instructions the agent will receive before you install.
Read setup first; needs the upscaling plugin (POST /api/plugins/upscaling/start).
B=${GUAARDVARK_URL:-http://localhost:5000}. Models: GET $B/api/upscaling/models (default HAT-L_SRx4);
install one with POST $B/api/upscaling/models/download {"model": "<id>"} only after the user says so.
curl -s -X POST $B/api/upscaling/upscale/image \
-F file=@/abs/path/in.png -F model=HAT-L_SRx4 -F scale=4 -F sharpen=0.2 -F denoise_strength=0.1
Returns the finished file (output_path, served under GET $B/api/upscaling/output/image/<filename>).
Form options: model, scale, sharpen, denoise_strength.
curl -s -X POST $B/api/upscaling/upscale/images -F files=@a.png -F files=@b.png -F model=HAT-L_SRx4 -F scale=2
Returns a job id; poll GET $B/api/upscaling/jobs/<job_id>; GET $B/api/upscaling/jobs lists all.
curl -s -X POST $B/api/upscaling/upscale/video -H 'Content-Type: application/json' -d '{
"input_path": "/abs/path/clip.mp4", "model": "realesrgan-x2", "scale": 2, "two_pass": false, "suffix": "_4k"
}'
output_path is optional. Same job polling. Video upscaling is slow: minutes per hundred frames
at 1080p on a 16 GB card. Say so before queuing.
POST $B/api/upscaling/preview (multipart, same form fields) runs a crop.No reviews yet. Tell others what you thought.
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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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