Models and LoRAs with Guaardvark

SkillMedia

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.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Models and LoRAs with Guaardvark skill

What this skill tells your AI

The instructions your AI receives, as published by guaardvark/guaardvark in .agents/skills/models/SKILL.md and read by ahel’s review.

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.

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, e.g.
    {"url": "...", "hf_repo": "org/repo", "revision": "main", "files": ["model.safetensors"],
     "role": "lora", "family": "wan22", "name": "My LoRA", "description": "...", "install": true}
    
    role and family decide where the Studio offers it (a Wan LoRA appears under Wan models; an SDXL checkpoint under image models). Video entries also take like: "<registry id>" to inherit that model's capabilities.
  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.

Signals

GitHub stars
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Last commit
Sep 2026
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skill
Gateway key
models
Source
github.com/guaardvark/guaardvark