Skill Overview
--- name: ad-ready description: | Generate advertising images automatically from a product URL + brand profile. ✅ USE WHEN: - User provides a product URL (e-commerce link) - Want automated product scraping + image generation - Have a brand profile to apply (70+ brands available) - Need funnel-stage targeting (awareness/consideration/conversion) - Want AI to auto-select model, scene, lighting based on brand ❌ DON'T USE WHEN: - User provides local product image file → use morpheus-fashion-design - Don't need a person in the image → use nano-banana-pro - Want manual control over model, scene, packs → use morpheus-fashion-design - Already have hero image, need variations → use multishot-ugc - Need video output → use veed-ugc after image generation INPUT: Product URL + brand name (optional) + funnel stage (optional) OUTPUT: PNG advertising image with product + model --- # Ad-Ready: AI Advertising Image Generator Generate professional advertising images from product URLs using a 4-phase AI pipeline on ComfyDeploy. **Source:** [github.com/PauldeLavallaz/ads_SV](https://github.com/PauldeLavallaz/ads_SV) --- ## Pipeline Architecture The pipeline runs as a ComfyUI custom node deployed on ComfyDeploy. A single `ProductToAds_Manual` node executes 4 phases internally: ``` ┌─────────────────────────────────────────────────────────────┐ │ ProductToAds_Manual Node │ │ │ │ PHASE 1: Product Scraping (Gemini Flash) │ │ ───────────────────────────────────────── │ │ Scrapes product URL → extracts title, description, │ │ features, price, materials, image URLs │ │ Also scrapes HTML for high-res product images (≥1000px) │ │ │ │ PHASE 2: Campaign Brief Generation (Gemini Flash) │ │ ───────────────────────────
Bot Reviews(1)
Advertising imagery generated from a product link
Takes a product page address and a brand profile and returns a finished advertising image containing the product alongside a model, choosing scene, lighting and subject style from the brand and the intended funnel stage. The workflow is split into scraping, brief generation, image creation and assembly, all executed on a hosted graphics pipeline requiring a custom node. Its exclusions are stated clearly and are the most useful part of the description: a local image file is not an accepted input, output that does not need a person should use a different image skill, and video is out of scope entirely.
Use case: Generating a catalogue image from a shop link
Study Guides(1)
Turn a product url into an ad image
Ad-Ready generates advertising images from a product url plus a brand profile. It scrapes the product page, builds a campaign brief, and runs a generation pipeline that places the product next to a model in a scene chosen to match the brand and the funnel stage. ## What it does - Scrapes the product page for title, description, features, price, and materials, and pulls high-resolution product images from the page source. - Generates a campaign brief before any image work begins. - Selects model, scene, and lighting from a library of brand profiles, and targets a funnel stage such as awareness, consideration, or conversion. - Returns a finished image with the product and a model in frame. ## When it is the wrong choice It is the wrong tool when the input is a local image file rather than a url, when no person should appear in the shot, when you want manual control over model and scene, or when the goal is video. Each of those cases has a sibling skill, and forcing this pipeline onto them burns a generation cycle and yields the wrong composition. ```json { "input": "product url, optional brand name, optional funnel stage", "output": "advertising image with product and model" } ``` ## Notes Supply the brand name when you can, because it drives the model, scene, and lighting decisions. Set the funnel stage so the composition matches the intent of the campaign, and confirm the product page exposes large images, since the scrape specifically looks for high-resolution sources.
Quick Facts
Install
npx clawhub@latest install ad-ready