Introduction
Automating listing visuals for second-hand platforms can significantly improve item appeal, reduce manual editing, and increase conversion rates. For CTOs, product managers, and engineering teams, a robust AI pipeline delivers scalable, consistent outputs.
Why Auto-Enhancement Matters
Benefits for Second-Hand Platforms
- Consistent quality across diverse product images
- Improved buyer confidence through better visuals
- Faster turnaround to publish listings
Cost Advantage
Nano Banana Pricing
- Official standard model: $0.039/image
- Our standard quality rate: $0.02/image, official-grade consistency within about 10 seconds
- Official Pro model: $0.134/image
- Our Pro rate: $0.068/image
- For teams processing thousands of images daily, savings add up quickly
Sora AI Video Pricing
- Official rate: $1–$1.5 per video
- Our rate: $0.12 per video
- Suitable for short promo clips integrated into listings
AI Visual Pipeline Components
Step 1: Image Enhancement with Nano Banana
The gemini-2.5-flash-image model offers fast processing for standard needs, while gemini-3-pro-image-preview suits premium outputs. Integrated with an LLM, descriptions can auto-update based on enhanced visuals.
Step 2: Video Creation with Sora
Sora’s sora-2 model generates short videos efficiently. Asynchronous API design allows progress checks without blocking main workflows.
Workflow Architecture
API Flow
- Input raw product image
- Process through Nano Banana model
- Return optimized base64 image data
- LLM creates enhanced copy
- Sora generates optional promo video
Scalability Features
- Stable performance under high concurrency
- Parallelization and microservice compatibility
Hands-On API Example
Image Generation Request
curl --location --request POST 'https://wisdom-gate.juheapi.com/v1/chat/completions' \
--header 'Authorization: YOUR_API_KEY' \
--header 'Content-Type: application/json' \
--header 'Accept: */*' \
--data-raw '{
"model": "gemini-2.5-flash-image",
"messages": [{"role": "user","content": [{"text": "generate a high-quality image.","type": "text"},
{"image_url": {"url": "https://blog-images.juhedata.cloud/example.jpeg"},"type": "image_url/base64"}]}
],
"stream": false
}'
Video Creation Request
curl -X POST "https://wisdom-gate.juheapi.com/v1/videos" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: multipart/form-data" \
-F model="sora-2" \
-F prompt="A serene lake surrounded by mountains at sunset" \
-F seconds="15"
Video Progress Check
curl -X GET "https://wisdom-gate.juheapi.com/v1/videos/{task_id}" \
-H "Authorization: Bearer YOUR_API_KEY"
Integration Tips
Optimize Request Batching
- Group multiple images in requests for efficiency
- Use caching to avoid reprocessing identical inputs
Monitor and Alerts
- Track API latency and error rates
- Set up retries for intermittent failures
Scaling Up
Horizontal Scaling
- Deploy multiple processing nodes
- Use load balancers for even traffic distribution
Data Flow
- Employ message queues like RabbitMQ or Kafka
- Implement failover handling for robust job completion
Security Considerations
- Store API keys securely
- Enforce per-team rate limits
Performance Benchmarks
Image Pipeline
- Average 10 seconds for base64 output
- Stable under 10,000 concurrent requests
Video Pipeline
- ~20 seconds for a 15-second clip
- Resilient under high load
Measuring Impact
KPIs
- CTR increase from enhanced visuals
- Reduction in listing prep time
- Cost savings per 1,000 items processed
Conclusion
Combining Nano Banana for image refinement with Sora for compelling video creates a complete AI-powered visual pipeline. By leveraging reduced pricing and stable performance, teams can scale content creation without sacrificing quality or speed.