BannerCraft
Elevate Your Brand with Stunning Visuals!
Created on 2nd October 2024
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BannerCraft
Elevate Your Brand with Stunning Visuals!
Describe your project
BannerCraft is an AI-powered platform revolutionizing how businesses create promotional banners. Our project introduces a cutting-edge solution for high-quality, customized advertisement banner creation, leveraging advanced AI technologies to streamline design workflows and enhance marketing impact.
Core Features:
- AI-Driven Prompt & Banner Creation
- Utilizing Gemini for generating contextually relevant prompts.
- Users can upload product images and choose color palettes, themes, and design elements.
- Imagen3 generates creative banners integrating both AI-generated and user-provided assets.
- Comprehensive Editing Suite
- Includes tools for text integration, shapes, freehand drawing, inpainting, watermarking, and more on the generated image
- AI-generated elements can be seamlessly added and customized with user-uploaded images.
- Chatbot integration for generating text and sticker-like visuals to embed on a generated poster.
- Spelling Accuracy & Image Precision
- Leveraging advanced bounding box technology and computer vision which replaces products in the generated image with original images which users provided ensure 100% spelling accuracy.
- AI-generated images are automatically replaced with original user-provided images when necessary.
- Optimized Performance
- Features structured templates and few-shot learning to enhance prompt engineering.
- Client-side caching ensures smooth editing performance.
Future Opportunities
- Premium Subscription Plan
- Support for multi-language markets and custom fine-tuning of models.
- Enhanced AI Capabilities
- Improved prompt generation for more diverse, creative outputs.
- Advanced AI based image manipulation tools.
- Collaboration & Analytics
- Team-based editing workflows, version control, and performance tracking for optimization.
Challenges we ran into
Challenges We Faced
Prompt Engineering for Gemini 1.5 Pro
A key challenge was fine-tuning prompts for Gemini 1.5 Pro to generate high-quality, contextually relevant banner descriptions. Initially, our prompts resulted in generic or misaligned outputs. We addressed this by implementing a structured prompt template, adding specific details about product placement, lighting, and themes, and using few-shot learning with successful examples. This iterative process significantly improved the quality and relevance of our generated content.
Integration with Imagen3 API
Handling rate limits and optimizing response times with the Imagen3 API was another challenge. We resolved this by implementing an efficient queuing system to manage requests, caching frequently used elements to reduce API calls, and developing a fallback mechanism for API downtimes. These measures improved the speed and reliability of banner generation.
Image Editing Performance
Our initial image editor, particularly the inpainting feature, was computationally intensive, causing performance issues on lower-end devices. We optimized our algorithms for efficiency, implemented progressive loading for high-resolution edits, and added client-side caching of edit history to reduce server load. These optimizations led to a smoother editing experience across all devices.
Bounding box
Algorithm for replacing only the product part of AI generated image with disturbing the background and aesthetics
Tracks Applied (1)