What problem does it solve?
Creating advertising images from product photos requires coordinating scene design, image generation parameters, collage layout math, and social copy, which is tedious to do manually and error-prone when sub-image sizes must match a target output ratio.
Core Features & Use Cases
- Ratio-driven size back-solving: Computes sub-image dimensions from the final target ratio and collage layout (2x2, 1x3, 1x2) so generated images stitch together without manual cropping.
- Structured image generation: Calls image_generator with a strict request contract (content, image_url, size, output_dir, optional reference_images) and enforces explicit actor-count language to prevent unwanted extra subjects.
- Product-grounded scene design: Activates media_comprehension to extract product style, tone, and audience before designing scenes, and pairs each deliverable with a short 小红书/抖音-style tagline.
- Use Case: Given one product photo and a 1920x1080 target, generate four 960x540 scene images, stitch them into a 2x2 collage, and attach one social tagline for the final ad.
Quick Start
Create a 16:9 collage ad from my product photo with four lifestyle scenes and a short tagline for 小红书.