How do I install the Models skill?

Run npx skillmds@latest add guaardvark/models in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Models safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Models?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Models free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Models?

guaardvark (@guaardvark) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Models by guaardvark — Agent Skill

Name: Models
Author: guaardvark

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.

guaardvark Updated Sep 21, 2026

File contents

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)

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.
Show that to the user: which file(s), role, family, size, licence.
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.
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.

---name: modelsdescription: 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.---# 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.

Frequently asked questions