We are developing a project that aims to help writers to mix written content by generating engaging images and optimizing placement within the text. Basically, We are building a web application that generates images based on user input. The user will enter some text and might specify the number of images they want to generate. Our application will analyze the text, identify entities within it, devide text into paragraphs and use that information to generate images using a generative AI model. The user will have the option to modify the generated images and generate new ones. The idea is that Ai will analyses the text and decides the best place to put images (where the reader becomes bored) and generate images according to the content. We included more detailed information in our presentation
🗓️ This will be a week of hacking and fun from 24 February to 3 March 💻 Create innovative new apps with OpenAI's latest AI tools 💡 Learn from top AI professionals ⚒️ Combine GPT-3, Codex, Dalle-2, and Whisper to build your AI app 🐱💻 Now is the time to register and let's get started!
🔥 7 days Hackathon 🦾 The first Stable Diffusion XL hackathon ✨ Even more models available! Use GPT-4, ChatGPT, Whisper, Cohere and AI21 and more! 🛠️ Incorporate Stable Diffusion 2.0 and Vercel software to your projects 🚀 Create your complete product MVP 🤝 Find co-founders and mentors on the lablab.ai platform