Generate Functional Requirements for ImgxAI App

I would like to create concise functional requirements for the following application: The app is called ImgxAI and is a midjourney clone, but using OpenAI's image model. Research midjourney to get a better understanding of the app. My Requirements: - It should integrate with the OpenAI APIs. The image model used is gpt-image-1 - The app should have a unified interface with a chat input and a timeline of results - The timeline should be scrollable and have infinite loading with pagination - The timeline should be responsive, a grid of 1 on mobile, 2 on tablet and 4 on desktop - There should be minimal filters on the timeline, with the ability to filter by - date - status - aspect ratio - order by newest first or oldest first - You should be able to download each image by clicking on it - There should be a details view for the entire prompt which shows: - all images for the prompt - the jobId - created - status - image count - dimensions - model - quality - allow to easily re-run the prompt and download each of the images - The images should be shown in their correct aspect ratio but within a square container - You are able to submit the prompt multiple times; more items will be added to the timeline (as background jobs) - Each prompt can have the following options: - quality: (low, mid, high) - aspect ratio: 1024x1024, 1536x1024, 1024x1536 - output_compression ((0-100%)) - default is 50% - output_format should be webp - moderation should be "low" - n (number of images to generate) - response_format should be b64_json - model should be "gpt-image-1" - You should be able to see a previous prompt and easily rerun it by clicking on it - The response images should be stored locally in the browser storage - You should have a simple navigation bar with a settings button - In the settings menu you can set your OpenAI API key which is also stored locally in the browser storage - There is already a codebase using Next.js 15, TailwindCSS, Lucide Icons, React Hook Form with zod and Shadcn UI. Output as markdown code.