Image generators like DALL-E are impressive, but many people struggle with engineering effective image prompts. We wanted to create an app that allows users to easily assemble their own images, even in disparate styles. With our app, users can add elements to a canvas, and AI will generate a prompt from the image to recreate it in a consistent style. This approach shifts from text-to-image generation to a more intuitive image-to-image generation, making image generation with AI more accessible.
Magic Transform allows users to create images by assembling elements on a canvas. The app then uses AI to generate a prompt from the assembled image and recreates it in a consistent style using DALL-E 3.
- Image-to-Image Generation: Users can add elements to a canvas, and AI will generate a prompt to recreate the image in a consistent style.
- Seamless Integration: Built using the Canva SDK, OpenAI API, and Microsoft Azure, the app provides a smooth user experience.
- Export and Transform: The app exports the current canvas and passes it to OpenAI's GPT Omni model to retrieve a description, which is then used to generate a new image with DALL-E 3.
- Backend: Node.js, OpenAI API, Docker, Microsoft Azure Container Apps
- Frontend: React, TypeScript, Canva SDK, Cloudinary
- Deployment: Docker containerization, Azure Container Apps, Cloudinary for asset hosting
- Codebase Improvements: We plan to enhance the readability and optimization of the codebase.
- UI/UX Enhancements: We aim to add new UI elements to improve the user interface and user experience.
- New Features: We are exploring the possibility of adding features that allow users to easily share their creations and implementing a payment model to accept payments.