# How to Vibe Code Your Own ImagineArt (and Stop Paying for It) > AI creative suite and orchestration platform for images, videos, audio, and workflows - Site: https://imagine.art - Category: AI Media Generation & Creative Suite - Platforms: Web app, iOS app, Android app, Browser extension - Verdict: **Serious undertaking** (35/100 vibecodeable) - Estimated effort: 3-4 months of part-time work ## Verdict Build a personal clone of the core image and video generation dashboard, but keep paying for the full platform. The biggest catch is engineering the multi-model proxy and asynchronous GPU job queues. Attempting to clone ImagineArt means building a heavy backend proxy service that translates standard requests into dozens of distinct third-party model schemas (fal.ai, Runway, ElevenLabs), managing long-running background workers for video generation, and writing a complex node-based visual canvas in React. While you can build a personal sandbox combining Next.js, Turso, and fal.ai, orchestrating the full suite of specialized studios and model pipelines represents months of challenging engineering work. ### What you can't replicate - Proprietary model checkpoints (ImagineArt 2.0) - Massive community workflow templates and public asset library - Commercial agreements and direct integrations with dozens of frontier labs ## What it does An all-in-one generative AI platform aggregating proprietary models and frontier third-party models into a single web dashboard, mobile apps, and node-based workflow canvas. ### Core features - Text-to-image and text-to-video generation pipeline - Node-based visual AI workflow canvas - Specialized studios (Film, Ad, Fashion, Audio) - Image editing tools (inpainting, outpainting, upscaling, face swaps) - Multi-vendor model proxy and orchestration layer - Cross-platform asset management and storage - Model Context Protocol (MCP) server for IDE integration ## The business ### Pricing - Free: $0 - Individual Paid Tiers: $7 - $41/mo - Enterprise: Custom Founded 2022. Team size: 100+. ## The hard parts - Multi-vendor orchestration routing requests across 50+ divergent third-party APIs with inconsistent schemas and rate limits - Asynchronous heavy GPU queue management (BullMQ/Temporal) for long-running video inference jobs without dropping connection state - Complex interactive UI canvas implementation (React Flow) for node-based visual workflows and storyboard editing - Hosting and managing real-time asset streaming and generation webhooks at scale ## How to vibe code ImagineArt ### Prerequisites - Node.js (free): Runtime for running Next.js web application and backend scripts. - GitHub (free): Repository hosting and deployment pipeline integration. - fal.ai Account (Usage-based): API keys required to access image and video generation models. ### Recommended AI tools - Claude Code: Best-in-class agentic coding tool for scaffolding full-app architecture and building complex multi-file features from the terminal. - Cursor: AI-native code editor ideal for iterating on complex UI canvas components and fine-tuning frontend states. ### Stack - Frontend: Next.js - Backend: Next.js API routes with Inngest background workers - Database: Turso - Auth: better-auth - Payments: Stripe - Other: fal.ai API, ElevenLabs API, React Flow, Cloudflare R2 ### Hosting - Vercel (Hosting the Next.js frontend and serverless API endpoints.): $0-20/mo - Fly.io (Running long-lived background job workers and queue processing for video generation.): $5-15/mo ### Build guide 1. **Project Scaffolding and Database Schema** — Initialize the Next.js project with Tailwind CSS and configure Turso with better-auth for user session management. ``` Create a new Next.js project configured with TypeScript and Tailwind CSS. Set up Turso as the database using Drizzle ORM, defining tables for users, generations (storing prompt, model name, output URL, status), and workflows. Integrate better-auth for secure email/password and social sign-in. Ensure all configuration files are complete and type-safe. ``` 2. **Model Proxy and API Integration Layer** — Build an abstraction service that normalizes requests to third-party inference providers like fal.ai and ElevenLabs. ``` Build a robust backend abstraction layer in Next.js that normalizes model generation requests. Create adapter modules for fal.ai (for image generation via Flux and video models) and ElevenLabs (for voiceovers). The service must handle request validation, error handling, webhook status polling, and credit deduction per request. ``` 3. **Asynchronous Job Queue and Worker Setup** — Implement robust background processing using Inngest or BullMQ on Fly.io to handle long-running video rendering tasks. ``` Implement an asynchronous background job processing pipeline using Inngest to manage video and high-resolution image generation tasks. When a user submits a generation request, enqueue the job, call the provider API asynchronously, poll for completion, store the resulting asset URL in Turso, and notify the client via webhooks or polling state. ``` 4. **Visual AI Workflows Canvas** — Develop a node-based visual programming canvas using React Flow allowing users to chain input nodes, model nodes, and output nodes. ``` Build a visual node-based workflow editor page using React Flow. Create custom node types for Text Prompt, Image Model, Video Model, and Output Viewer. Allow users to connect ports between nodes to define a multi-step execution pipeline. Implement a 'Run Workflow' action that traverses the graph topology, executes steps sequentially via the backend proxy, and displays intermediate outputs. ``` 5. **Creative Studios Frontend (Image, Video & Audio)** — Create the main dashboard user interfaces for generating images, videos, and audio clips from text prompts. ``` Develop the primary Studio dashboard in Next.js featuring dedicated tabs for Image Generation, Video Generation, and Audio Studio. Include prompt input areas with aspect ratio selectors, negative prompt fields, model selector dropdowns, and an asset gallery showing historical generations with filtering by media type. ``` 6. **Asset Storage and CDN Pipeline** — Configure Cloudflare R2 object storage to securely store and serve generated images, videos, and audio files. ``` Set up Cloudflare R2 object storage integration for saving generated media files. Write utility functions to download generated assets from provider URLs upon completion, upload them to your private R2 bucket, generate signed public URLs, and save asset references back to the Turso database. ``` ### Cost vs paying **Starting costs (one-time):** - Domain Name: $12 one-time - Initial API Credits (fal.ai / OpenAI): $25 one-time - Total: ~$37 one-time **Ongoing costs (monthly):** - Vercel Pro / Fly.io Hosting: $15/mo - API Usage (fal.ai / ElevenLabs inference): $20/mo - Total: ~$35/mo - Paying for the SaaS instead: $25/mo - Build time: 80 hours - AI tool credits: $40/mo (Claude Pro + API credits) - Break-even: N/A (Built for personal learning and custom workflow experimentation) ## Sources - [ImagineArt Official Website & Pricing](https://www.imagine.art/subscription) - [GetLatka - Imagine.art Revenue & Company Profile](https://getlatka.com) - [ImagineArt Help Center & Docs](https://mcp.imagine.art)