How I Built an AI Pet Portrait Generator That Turns Photos Into Art

William Li — Tue, 14 Jul 2026 13:02:50 +0000

How I Built an AI Pet Portrait Generator That Turns Photos Into Art

Ever wondered what your dog would look like as a watercolor painting? Or your cat as a royal portrait? I built a web app that does exactly that - Pet Portrait Studio transforms pet photos into custom artwork using AI.

The Problem

Traditional pet portraits cost $200-500 and take 2-4 weeks. I wanted to create something that delivers in minutes, starting from $9.

The Tech Stack

Backend: Python + Flask + SQLAlchemy
AI Engine: Multimodal models for image analysis + image generation
Storage: Alibaba Cloud OSS for image hosting
Payment: PayPal REST API
Email: Alibaba Cloud Enterprise Email

How It Works

1. Photo Analysis

When a user uploads a pet photo, the system uses a multimodal AI model to detect:

def analyze_pet_image(image_path: str) -> ImageAnalysis:
    """Analyze a pet image to extract features."""
    # Priority: AI Vision → Local Analysis → Smart Defaults
    result = call_modelscope_vision(
        image_path,
        prompt="Identify pet type, breed, and color in JSON format"
    )
    return ImageAnalysis(
        species=result.get("species"),
        breed=result.get("breed"),
        color=result.get("color"),
        confidence=result.get("confidence")
    )

This auto-fills the form fields, so users don't have to manually select their pet's breed.

2. Prompt Engineering

The core of the system is the prompt engine that generates style-specific prompts:

Watercolor: "Soft, flowing watercolor painting with gentle washes..."
Oil Painting: "Classical oil painting with rich textures and warm tones..."
Cartoon: "Fun, Pixar-style cartoon with vibrant colors..."

Each style has 100+ prompt variations to ensure uniqueness.

3. Quality Scoring

Generated portraits are scored by a separate AI model on 4 dimensions:

Image clarity (25%)
Artistic style consistency (25%)
Pet feature accuracy (25%)
Overall aesthetics (25%)

Only portraits scoring above 7/10 are delivered.

4. Delivery

Portraits are delivered via email with download links. The system supports:

Priority queue (paid orders process first)
Revisions (Pro: 1, Deluxe: 3)
HD upscaling for Deluxe tier

Key Technical Decisions

Why Flask over Django? The app is primarily a single-purpose tool, not a complex platform. Flask's simplicity fits better.

Why self-hosted AI? Using Alibaba Cloud's DashScope API gives us control over model selection and cost. We can switch models without changing the application code.

Why SQLite? For a solo operator with <1000 orders/day, SQLite with WAL mode handles the load fine. PostgreSQL migration is planned for when traffic grows.

Results

30 SEO landing pages targeting long-tail keywords
14 blog posts for content marketing
Conversion rate: ~60% (small sample)
Average delivery time: 5-15 minutes

Try It

Upload your pet photo at custompetart.store - registered users get 3 free portraits.

DEV Community: William Li

How I Built an AI Pet Portrait Generator That Turns Photos Into Art

How I Built an AI Pet Portrait Generator That Turns Photos Into Art

The Problem

The Tech Stack

How It Works

1. Photo Analysis

2. Prompt Engineering

3. Quality Scoring

4. Delivery

Key Technical Decisions

Results

Try It