🦞
ad-ready

Generate professional advertising images from product URLs
SKILL.md
---
name: ad-ready
description: Generate professional advertising images from product URLs using the Ad-Ready pipeline on ComfyDeploy. Use when the user wants to create ads for any product by providing a URL, optionally with a brand profile (70+ brands) and funnel stage targeting. Supports model/talent integration, brand-aware creative direction, and multi-format output. Differs from Morpheus (manual fashion photography) — Ad-Ready is URL-driven, brand-intelligent, and funnel-stage aware.
---

# 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)          │
│  ────────────────────────────────────────────────            │
│  Brand Identity + Product Data + References →                │
│  10-point Campaign Brief (creative direction)                │
│                                                             │
│  PHASE 3: Blueprint Generation (Gemini Flash)               │
│  ──────────────────────────────────────────────              │
│  Master Prompt (funnel stage) + Brief + Keywords →           │
│  Production-Ready JSON Blueprint                             │
│                                                             │
│  PHASE 4: Image Generation (Nano Banana Pro / Imagen 3)     │
│  ──────────────────────────────────────────────────          │
│  Blueprint + all reference images → final ad image           │
│                                                             │
└─────────────────────────────────────────────────────────────┘
```

### Phase 2: Campaign Brief (The Creative Brain)

The Brief Generator is the most critical intermediate step. It acts as a "Senior Art Director" that translates raw data into actionable creative direction using a 10-point framework:

1. **Strategic Objective** — Why this campaign exists (awareness/positioning/launch)
2. **Central Message** — One idea perceivable without text
3. **Visual Tone of Voice** — Register: calm/energetic/intimate/monumental
4. **Product Role** — Hero vs co-protagonist vs implicit presence
5. **Visual Language & Brand Coherence** — Non-negotiable brand codes
6. **Photographer & Equipment** — Photography as concept, not execution
7. **Extended Art Direction** — Styling, casting, poses, hair/makeup, layout
8. **Environment & Context** — Where and why (conceptual, never decorative)
9. **Texture, Material & Product Render** — How surfaces are perceived
10. **Final Image Signature** — Finish, grain, temporal positioning

Without the brief, the Master Prompt must guess creative strategy. With it, the Master Prompt only executes.

The brief prompt template is included at `{baseDir}/configs/Brief_Generator/brief_prompt.json`.

### Phase 3: Master Prompts (8 Funnel Stages)

Each funnel stage has a specialized Master Prompt that generates a production-ready JSON Blueprint. All share the same internal simulation:

- **ROUND -1: Brand Identity Forensics** (stages 03+) — Unified Brand Style Manifest
- **ROUND 0: Fidelity Lock** — Product geometry & talent identity are IMMUTABLE
- **ROUND 1: Stage Strategy** — Strategic approach specific to funnel position
- **ROUND 2: Graphic Design** — UI, typography, CTA engineering

The Blueprint JSON covers: scene production, talent lock, camera perspective, subject action/pose/wardrobe, lighting, product constraints, layout architecture, typography, CTA engineering, and brand asset placement.

Master prompt files are included at `{baseDir}/configs/Product_to_Ads/`.

### Reference Analyzer

When reference images (pose, style, location) are provided, they're analyzed with forensic precision:

- **POSE_REF** → Body position, limbs, weight, gaze, micro-gestures → replicated EXACTLY
- **PHOTO_STYLE_REF** → Camera, lens, lighting, grading, grain → derived parameters
- **LOCATION_REF** → Setting, materials, colors, mood → similar but creatively enhanced

The reference analysis prompt is at `{baseDir}/configs/Reference_Analyzer/reference_analysis_prompt.txt`.

---

## ⚠️ CRITICAL: Required Inputs Checklist

Before running ANY ad generation, ensure ALL of these are provided:

| Input | Required? | How to Get It |
|-------|-----------|---------------|
| `--product-url` | ✅ ALWAYS | User provides the product page URL |
| `--product-image` | ✅ ALWAYS | Download from the product page, or user provides |
| `--logo` | ✅ ALWAYS | Download from brand website or search online. MUST be an image file |
| `--reference` | ✅ RECOMMENDED | An existing ad whose style we want to clone. Search online or use previously generated images |
| `--brand-profile` | ✅ NEVER EMPTY | Pick from catalog or run brand-analyzer first. NEVER leave as "No Brand" if a brand is known |
| `--prompt-profile` | ✅ ALWAYS | Choose based on campaign objective |
| `--aspect-ratio` | Default: 4:5 | Change if needed for platform |
| `--model` | ✅ RECOMMENDED | Model/talent face. Ads with talent perform much better |

### 🚨 NEVER Skip These Steps:

1. **Product image** — Download the main product photo from the product URL. The scraper is fragile; always provide a product image explicitly.
2. **Brand logo** — Download the logo from the brand's official website or search for "{brand name} logo" online. Must be a clean logo image (PNG preferred).
3. **Brand profile** — If the brand doesn't exist in the catalog, run `brand-analyzer` skill FIRST to generate one. Never submit with "No Brand" when a brand is known.
4. **Reference image** — Search for an existing ad or visual with a style that matches what we're generating. This dramatically improves output quality.

---

## Auto-Preparation Workflow

When the user asks to generate an ad:

```
1. User provides: product URL + brand name + objective

2. CHECK brand profile exists:
   → ls ~/clawd/ad-ready/configs/Brands/ | grep -i "{brand}"
   → If not found: run brand-analyzer skill first

3. DOWNLOAD product image:
   → Visit the product URL or fetch the page
   → Find and download the main product image
   → Save to /tmp/ad-ready-product.jpg

4. DOWNLOAD brand logo:
   → Search "{brand name} logo PNG" or fetch from brand website
   → Download clean logo image
   → Save to /tmp/ad-ready-logo.png

5. FIND reference image:
   → Search for "{brand name} advertisement" or similar
   → Or use a previously generated ad that has the right style
   → Save to /tmp/ad-ready-reference.jpg

6. SELECT prompt profile based on objective:
   → Awareness: brand discovery, first impressions
   → Interest: engagement, curiosity
   → Consideration: comparison, features
   → Evaluation: deep dive, trust, proof
   → Conversion: purchase intent, CTAs (most common)
   → Retention: post-purchase confidence
   → Loyalty: emotional bond, lifestyle
   → Advocacy: social amplification, community

7. RUN the generation with ALL inputs filled
```

---

## Usage

### Full command (recommended):
```bash
COMFY_DEPLOY_API_KEY="$KEY" uv run {baseDir}/scripts/generate.py \
  --product-url "https://shop.example.com/product" \
  --product-image "/tmp/product-photo.jpg" \
  --logo "/tmp/brand-logo.png" \
  --reference "/tmp/reference-ad.jpg" \
  --model "models-catalog/catalog/images/model_15.jpg" \
  --brand-profile "Nike" \
  --prompt-profile "Master_prompt_05_Conversion" \
  --aspect-ratio "4:5" \
  --output "ad-output.png"
```

### Auto-fetch mode (downloads product image and logo automatically):
```bash
COMFY_DEPLOY_API_KEY="$KEY" uv run {baseDir}/scripts/generate.py \
  --product-url "https://shop.example.com/product" \
  --brand-profile "Nike" \
  --prompt-profile "Master_prompt_05_Conversion" \
  --auto-fetch \
  --output "ad-output.png"
```

### List available brands:
```bash
uv run {baseDir}/scripts/generate.py --list-brands
```

---

## API Details

**Endpoint:** `https://api.comfydeploy.com/api/run/deployment/queue`
**Deployment ID:** `e37318e6-ef21-4aab-bc90-8fb29624cd15`

### ComfyDeploy Input Variables

| Variable | Type | Description |
|----------|------|-------------|
| `product_url` | string | Product page URL to scrape |
| `producto` | image URL | Product image (uploaded to ComfyDeploy) |
| `model` | image URL | Model/talent face reference |
| `referencia` | image URL | Style reference ad image (used for both pose + location) |
| `marca` | image URL | Brand logo image |
| `brand_profile` | enum | Brand name from catalog (70+ brands) |
| `prompt_profile` | enum | Funnel stage master prompt |
| `aspect_ratio` | enum | Output format (1:1, 4:5, 5:4, 9:16, etc.) |

---

## Funnel Stages — Strategic Detail

### 01 — Awareness
**Goal:** Scroll-stop, curiosity, brand introduction
**Reject:** Generic "product on table" concepts
**Strategy:** Dynamic camera angles, world-building environments, high-concept creativity
**CTA:** Soft or optional
**Visual Hierarchy:** Talent → Product → Optional CTA

### 02 — Interest
**Goal:** Sustained attention, introduce value proposition
**Reject:** Abstract visuals that hide the product
**Strategy:** One clear visual idea, believable micro-world hinting at use-case
**CTA:** Learn More, Discover, See Details
**Visual Hierarchy:** Talent → Product → Headli

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