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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
B=${GUAARDVARK_URL:-http://localhost:5000}. Nothing downloads without an explicit Install;
the product never phones home on its own. Always confirm the size and the licence with the user first.
GET $B/api/batch-video/models (registry + user catalog, with is_downloaded / is_ready, missing_files, capabilities).GET $B/api/batch-image/models.POST $B/api/batch-video/models/download {"model_id": "wan22-14b"} /
POST $B/api/batch-image/models/download {"model_path": "<id>"}; progress at
GET .../models/download-status.qwen-image-edit
(~28 GB with its encoder and VAE), flux-kontext-dev, pulid-flux (with its face files,
EVA02-CLIP and flux-dev), bgremove-birefnet / bgremove-u2net. The rows come back as
editing in GET $B/api/batch-image/models; Install with
POST $B/api/batch-image/models/download {"model_path": "comfy:<pack id>"}. Confirm size and
licence; never start those downloads unless the user asked.POST $B/api/batch-video/models/from-hf {"url": "https://huggingface.co/<org>/<repo>"}
(or the batch-image twin). The server reads the repo and returns what it found: files,
revision, the likely role (checkpoint, LoRA, VAE, text encoder), family, whether a
model_index exists, and a proposed catalog entry.POST $B/api/batch-video/models/user (or batch-image)
sending the entry back. role and family (image) or like (video) decide where the Studio
offers it. The server re-inspects the repo; do not send has_model_index from the client.
Gated repos need HF_TOKEN; confirm size and licence from the Look-up response first.DELETE .../models/user/<model_id> with {"delete_files": true|false}.adapters: [{"id": "<user model id>", "scale": 0.8}] on /generate/prompts.lora_name + lora_strength, or adapters on /generate/text.subject_ids (the cast skill)..safetensors URL works when it lives on huggingface.co; the inspector needs the repo
to read the file list. For other hosts, ask the user to download the file and drop it in the
Studio's model folder instead.like/family. Do not invent numbers for a model the registry does not know.아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
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".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.