# Models

> 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.

- Skill: `guaardvark/models` (Agent Skill)
- Install (CLI): `npx skillmds@latest add guaardvark/models`
- Raw SKILL.md: https://api.skillmd.com/api/skills/guaardvark/models/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: guaardvark (https://skillmd.com/u/guaardvark)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/guaardvark/models

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# Models and LoRAs with Guaardvark

`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.

## What is there

- Video: `GET $B/api/batch-video/models` (registry + user catalog, with `is_downloaded` / `is_ready`, `missing_files`, `capabilities`).
- Image: `GET $B/api/batch-image/models`.
- Download a registry model: `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`.
- Chat photo-tool packs install from **Manage Image Models → Image editing**: `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.

## Add from a Hugging Face URL (the "paste a link" path)

1. Inspect: `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.
2. Show that to the user: which file(s), role, family, size, licence.
3. Register (and optionally install) with `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.
4. Remove: `DELETE .../models/user/<model_id>` with `{"delete_files": true|false}`.

## Using a user LoRA

- Batch image: `adapters: [{"id": "<user model id>", "scale": 0.8}]` on `/generate/prompts`.
- Batch video: `lora_name` + `lora_strength`, or `adapters` on `/generate/text`.
- A trained Cast LoRA is different: it rides on `subject_ids` (the cast skill).

## Rules

- A direct `.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.
- Declared limits (min steps, max frames) come from the registry entry; a user model inherits
  them from `like`/`family`. Do not invent numbers for a model the registry does not know.