ad-readyGenerate 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
Install via ClawdBot CLI:
clawdbot install PauldeLavallaz/ad-readyGenerate professional advertising images from product URLs using a 4-phase AI pipeline on ComfyDeploy.
Source: github.com/PauldeLavallaz/ads_SV
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 │
│ │
└─────────────────────────────────────────────────────────────┘
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:
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.
Each funnel stage has a specialized Master Prompt that generates a production-ready JSON Blueprint. All share the same internal simulation:
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 images (referencia) are optional and off by default. The pipeline generates creative direction internally from Brand Identity + Campaign Brief. Only use a reference when the user explicitly asks to clone a specific ad's style.
When used, the reference is analyzed for pose, photographic style, and location cues.
Before running ANY ad generation, ensure 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 |
| --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 | 🔶 OPTIONAL | Model/talent face. Ads with talent perform much better. Empty = product-only ad (no person). When used, pick from ~/clawd/models-catalog/catalog/images/ (114 models available) |
| --logo | 🔶 OPTIONAL | Try to find it. Use if good quality & easy to get. Skip if low-res or hard to find. Empty = bypassed |
| --reference | 🔶 OPTIONAL (off) | Only when user explicitly asks to clone a reference ad. Empty = bypassed |
| --creative-brief | 🔶 ON-DEMAND | Only when user gives explicit creative direction. Omit to let pipeline auto-generate from brand profile |
| --language | 🔶 ON-DEMAND | Only when user requests a specific language. Omit to use default (es) |
brand-analyzer skill FIRST to generate one. Never submit with "No Brand" when a brand is known.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. SELECT prompt profile based on objective:
→ 🎨 Morfeo_Creative: DEFAULT — cinematic, narrative-rich, slightly surreal. Best visuals.
→ Awareness: brand discovery, dynamic scenes, world-building, scroll-stoppers
→ Interest: sustained attention, micro-world hinting at use-case
→ Consideration: feature communication, proof cues, informative
→ Evaluation: trust, authority, reviews, certifications
→ Conversion: ⚠️ MINIMAL by design — clean, CTA-dominant, white backgrounds
→ Retention: post-purchase confidence, onboarding
→ Loyalty: editorial, lifestyle, emotional bond
→ Advocacy: share-worthy, community, belonging
DEFAULT SELECTION LOGIC:
- Generic "generate an ad" → Morfeo_Creative (09)
- "awareness" / "brand discovery" → Awareness (01)
- "conversion" / "buy now" / CTA-focused → Conversion (05)
- "creative" / "original" / "surreal" → Morfeo_Creative (09)
- "lifestyle" / "editorial" → Loyalty (07)
- When in doubt → Morfeo_Creative (09), NOT Conversion
5b. SELECT MODEL (optional):
→ If user wants a person in the ad: pick from ~/clawd/models-catalog/catalog/images/model_XX.jpg (114 available)
→ If user wants product-only ad (no person): leave --model empty
→ If user doesn't specify: ASK if they want a model or product-only
→ Catalog preview: catalog.json at ~/clawd/models-catalog/catalog/catalog.json
6. RUN the generation with ALL inputs filled
COMFY_DEPLOY_API_KEY="$KEY" uv run {baseDir}/scripts/generate.py \
--product-url "https://shop.example.com/product" \
--product-image "/tmp/product-photo.jpg" \
--logo "/tmp/brand-logo.png" \
--model "models-catalog/catalog/images/model_15.jpg" \
--brand-profile "Nike" \
--prompt-profile "Master_prompt_05_Conversion" \
--aspect-ratio "4:5" \
--output "ad-output.png"
COMFY_DEPLOY_API_KEY="$KEY" uv run {baseDir}/scripts/generate.py \
--product-url "https://shop.example.com/product" \
--product-image "/tmp/product-photo.jpg" \
--reference "/tmp/reference-ad.jpg" \
--brand-profile "Nike" \
--prompt-profile "Master_prompt_01_Awareness" \
--output "ad-output.png"
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"
uv run {baseDir}/scripts/generate.py --list-brands
Endpoint: https://api.comfydeploy.com/api/run/deployment/queue
Deployment ID: e37318e6-ef21-4aab-bc90-8fb29624cd15
| 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. OPTIONAL — empty = product-only ad without a person. When used, select from models catalog (~/clawd/models-catalog/catalog/images/model_XX.jpg, 114 available) |
| referencia | image URL | Style reference ad — OPTIONAL, empty = bypassed. Only when user asks to clone a reference |
| marca | image URL | Brand logo — OPTIONAL, empty = bypassed. Use if found easily in good quality |
| 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.) |
| language | string | ON-DEMAND ONLY. Output language for ad copy/CTA. Default: es. Only send when the user explicitly requests a different language. Otherwise, DO NOT include this parameter — let the pipeline use its default. |
| creative_brief | string | ON-DEMAND ONLY. Free-text creative direction override. Only use when the user explicitly asks for a specific creative direction, scene, mood, or concept. Otherwise, DO NOT include this parameter — let the pipeline generate its own brief from the Brand Identity profile automatically. |
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
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 → Headline → CTA
Goal: Informed evaluation, reduce uncertainty
Reject: Pure mood storytelling, vague emotional content
Strategy: Communicate WHAT product does, ONE primary differentiator, ONE proof cue
CTA: Compare, See Details, Explore
Visual Hierarchy: Talent → Product → Key Benefit → Proof Cue → CTA
New: Adds Brand Identity Manifest to Blueprint JSON
Goal: Validate purchase decision, proof & trust
Reject: Pure mood, unsupportable claims, visual clutter
Strategy: One trust anchor (quality/legitimacy/authority), one proof cue (reviews/certification)
CTA: See Reviews, Verified Quality, Learn More
Visual Hierarchy: Trust Anchor → Proof Cue → Product → Talent → CTA
Goal: Trigger decisive action, remove friction
Reject: New hesitation-inducing info, complex compositions
Strategy: One hero (product), one action, optional micro-reassurance
CTA: Buy Now, Get Yours, Complete Order (PRIMARY visual element)
Visual Hierarchy: Product → CTA → Optional Reassurance → Brand → Talent
Goal: Post-purchase confidence, reduce churn
Reject: Hard-sell, urgency, price talk
Strategy: "You made the right choice" + "Here is the next step"
CTA: Start, Set Up, Learn, Track (guidance, not purchase)
Visual Hierarchy: Confirmation → Next Step → Product → Talent
Goal: Strengthen emotional bond over time
Reject: Sales layouts, instructional tone, aggressive CTAs
Strategy: "This brand is part of who you are" — habitual engagement
CTA: Optional: Explore, Be Part Of, Continue
Visual Hierarchy: Brand World/Mood → Talent (identity mirror) → Product → Brand
Goal: Turn customers into voluntary brand ambassadors
Reject: Sales language, instructional tone, forced testimonials
Strategy: Signal belonging, create share-worthy imagery, enable organic sharing
CTA: Optional or absent: Join the Movement, Part of Us
Visual Hierarchy: Mood → Talent (identity proxy) → Product (symbol) → Brand
Goal: Maximum visual impact, narrative-rich, cinematic quality
Reject: White backgrounds, studio shots, "product on table", generic poses, sterile compositions
Strategy: Build immersive WORLDS, not backgrounds. Talent is a CHARACTER with emotion and action. Subtle surreal/magical elements elevate the mundane. Think movie stills + magical realism + high fashion.
CTA: Present but integrated into scene aesthetics
Visual Hierarchy: Scene → Talent (as character) → Product (organic in scene) → CTA
Creative Philosophy:
To create a new funnel stage or specialized ad type:
{baseDir}/configs/Product_to_Ads/Master_prompt_XX_NewStage.json — the node auto-discovers new profiles| Aspect | Early (01-02) | Mid (03-05) | Late (06-08) | Morfeo (09) |
|--------|--------------|-------------|--------------|-------------|
| Talent role | Attention anchor | Credibility anchor | Identity mirror | Character in story |
| Product role | Secondary hero | Evaluation hero | Familiar symbol | Organic in world |
| CTA | Soft/exploratory | Proof-led → Decisive | Guidance → Optional | Integrated/aesthetic |
| Copy voice | Intriguing | Clarity, proof, action | Supportive → Proud | Evocative/poetic |
| Visual density | High-concept | Structured, scannable | Editorial, spacious | Cinematic/layered |
| Environment | World-building | Context-rich | Lifestyle | Immersive + surreal |
| Environment | World-building | Context-rich | Lifestyle, intimate |
Reference image input (referencia) is optional. When provided, it's analyzed for:
When empty (default), creative direction comes from Brand Identity + Campaign Brief alone.
ls ~/clawd/ad-ready/configs/Brands/*.json | sed 's/.*\///' | sed 's/\.json//'
Use the brand-analyzer skill:
GEMINI_API_KEY="$KEY" uv run ~/.clawdbot/skills/brand-analyzer/scripts/analyze.py \
--brand "Brand Name" --auto-save
The Brand Analyzer uses a 3-phase methodology:
Output covers: brand_info, brand_values, target_audience, tone_of_voice, visual_identity, photography, campaign_guidelines, brand_behavior, channel_expression, compliance.
| Ratio | Use Case |
|-------|----------|
| 4:5 | Default. Instagram feed, Facebook |
| 9:16 | Stories, Reels, TikTok |
| 1:1 | Square posts |
| 16:9 | YouTube, landscape banners |
| 5:4 | Alternative landscape |
| 2:3 | Pinterest |
| 3:4 | Portrait |
The skill includes reference copies of all pipeline configuration files:
{baseDir}/configs/
├── Brief_Generator/
│ └── brief_prompt.json # 10-point campaign brief framework
├── Product_to_Ads/
│ ├── Master_prompt_01_Awareness.json
│ ├── Master_prompt_02_Interest.json
│ ├── Master_prompt_03_Consideration.json
│ ├── Master_prompt_04_Evaluation.json
│ ├── Master_prompt_05_Conversion.json
│ ├── Master_prompt_06_Retention.json
│ ├── Master_prompt_07_Loyalty.json
│ ├── Master_prompt_08_Advocacy.json
│ └── Master_prompt_09_Morfeo_Creative.json # 🎨 DEFAULT — cinematic, surreal, narrative
└── Reference_Analyzer/
└── reference_analysis_prompt.txt # Pose/style/location analysis prompt
These configs are the canonical reference for the pipeline's behavior. The actual live configs are stored in the ComfyUI deployment at ads_SV/configs/.
| Feature | Ad-Ready | Morpheus |
|---------|----------|----------|
| Input | Product URL (auto-scrapes) | Manual product image |
| Brand intelligence | 70+ brand profiles | None |
| Funnel targeting | 8 funnel stages | None |
| Brief generation | Auto (10-point creative direction) | None |
| Creative direction | Objective-driven (brief → blueprint) | Pack-based (camera, lens, lighting) |
| Best for | Product advertising campaigns | Fashion/lifestyle editorial photography |
| Control level | High-level (strategy-first) | Granular (every visual parameter) |
Uses ComfyDeploy API key. Set via COMFY_DEPLOY_API_KEY environment variable.
ProductToAds_Manual — Full manual control, single formatProductToAds_Auto — Auto-downloads images, generates 4 formatsBrandIdentityAnalyzer — Analyzes brands via Gemini + Google SearchGenerated Mar 1, 2026
A fashion brand launching a new clothing line uses Ad-Ready to generate awareness-stage ads by inputting product URLs from their online store and selecting their brand profile. The AI automatically creates images with models in aspirational settings, tailored to their brand's visual identity, ready for social media campaigns.
A marketing agency handling multiple clients in electronics uses Ad-Ready to quickly produce consideration-stage ads for new gadgets. By scraping product URLs and applying client-specific brand profiles, they generate high-conversion images with targeted messaging, saving time on manual design.
A direct-to-consumer beauty subscription service uses Ad-Ready to create conversion-stage ads for monthly box reveals. Inputting product URLs for included items and their brand profile, the tool generates images highlighting products with models in engaging poses, optimized for email and web banners.
A home decor retailer preparing for a holiday sale uses Ad-Ready to generate ads for furniture and decor items. By providing product URLs and selecting a brand profile for consistency, they produce images with models in cozy, inviting scenes to drive online purchases during peak seasons.
A fitness equipment seller uses Ad-Ready to create ads for new workout gear. Inputting product URLs and a brand profile focused on energy and performance, the AI generates images with models in dynamic poses, tailored for social media ads to boost engagement and sales.
Offer Ad-Ready as a subscription service where businesses pay a monthly fee for a set number of ad generations. This model provides recurring revenue and scales with client usage, ideal for agencies and e-commerce platforms needing regular content updates.
Integrate Ad-Ready as an API where developers or companies pay per image generated. This model suits businesses with fluctuating ad needs, allowing flexible pricing and easy integration into existing marketing workflows or e-commerce systems.
License Ad-Ready to marketing agencies or large enterprises as a white-label tool, rebranded under their name. This model generates upfront licensing fees and ongoing support contracts, leveraging partners' existing client bases for broader adoption.
💬 Integration Tip
Ensure product URLs are accessible and brand profiles are pre-configured; start with default settings to simplify initial use and avoid reference images unless specifically requested.
Generate/edit images with Nano Banana Pro (Gemini 3 Pro Image). Use for image create/modify requests incl. edits. Supports text-to-image + image-to-image; 1K/2K/4K; use --input-image.
Capture frames or clips from RTSP/ONVIF cameras.
Batch-generate images via OpenAI Images API. Random prompt sampler + `index.html` gallery.
Generate images using the internal Google Antigravity API (Gemini 3 Pro Image). High quality, native generation without browser automation.
使用内置 image_generate.py 脚本生成图片, 准备清晰具体的 `prompt`。
AI image generation powered by CellCog. Create images, edit photos, consistent characters, product photography, reference-based images, sets of images, style transfer. Professional image creation with AI.