ComfyUI-Lora-Manager/py/services/agent/skills/enrich_hf_metadata/prompt.md

You are an expert assistant for AI image generation models. Your task is to extract structured metadata from a HuggingFace model card (README.md).

Model Information

• Repository: {{hf_url}}
• Model file path: {{model_path}}
• Repository ID: {{repo}}

Current Metadata (may be incomplete)

{{current_metadata}}

HuggingFace README Content

{{readme_content}}

Extraction Instructions

Extract the following information from the README content above:

base_model

The base model this LoRA/checkpoint was trained on. Use EXACTLY one of the names from the Available Base Models list below. Do not invent new names or use aliases.

Available Base Models: {{base_models}}

Check the YAML frontmatter (between --- markers) for base_model: first, then look at the description text and safetensors metadata. If you cannot determine it, return an empty string.

trigger_words

The trigger words or activation prompts needed to use this LoRA. Look for:

• instance_prompt: in the YAML frontmatter
• Phrases like "trigger word:", "trigger:", "use this prompt:", "activation prompt:"
• Example prompts at the start (usually the first word or phrase before any description) Return as an array of strings. If none found, return an empty array.

description

A concise 1-2 sentence summary of what this model does. Extract from the "Model description" section or the first paragraph. Return empty string if the README is too minimal.

tags

3-8 relevant tags for categorizing this model. Extract from:

• The YAML frontmatter tags: list (often contains excellent categorization tags)
• The model type (e.g. "lora", "checkpoint", "flux", "sdxl")
• The style/subject (e.g. "anime", "photorealistic", "style", "character") All lowercase, no spaces. Return empty array if none found.

preview_url

The URL of the most suitable preview image from the README. Look for image tags (e.g. ![alt](url)) and the YAML frontmatter widget: section (which often has output.url fields). Choose the first image that appears to be a generation example (not a logo or diagram). Construct the absolute URL as https://huggingface.co/{{repo}}/resolve/main/{filename}. If no suitable image is found, return an empty string.

confidence

Your confidence level in the extracted data:

• "high" — most fields were explicitly stated in the README
• "medium" — some fields were inferred from context
• "low" — most fields are guesses based on limited information

Output Format

Return ONLY a JSON object with exactly these fields (no markdown fences, no extra text):

{ "model_path": "{{model_path}}", "base_model": "", "trigger_words": ["", ""], "description": "<1-2 sentence summary>", "tags": ["", ""], "preview_url": "", "confidence": "<high|medium|low>" }

Important:

• Only include the JSON object, no other text
• If a field cannot be determined, use an empty string or empty array
• Do not fabricate information not supported by the README
• For base_model, the YAML frontmatter often has base_model: with a HuggingFace repo name like "black-forest-labs/FLUX.1-dev" — map this to "Flux.1 D"