# How to Vibe Code Your Own SeaArt AI (and Stop Paying for It) > AI Creativity Community for Art, Video, Chat & Tools - Site: https://seaart.ai - Category: Generative AI Platform - Verdict: **Serious undertaking** (38/100 vibecodeable) - Estimated effort: 2-3 months of focused engineering work ## Verdict Build a personal subset for prompting workflows, but keep paying if you rely on their massive library of 700k+ community LoRAs and heavy video generation infrastructure. While an AI coding agent can quickly scaffold the Next.js frontend, dashboard UI, and credit tracking tables, you will hit a wall trying to replicate the heavy GPU backend infrastructure and community model ecosystem. Routing high-concurrency requests across multiple foundation models (Flux, Kling, Wan) and orchestrating asynchronous inference queues requires serious systems engineering that goes far beyond a simple API wrapper. ### What you can't replicate - The proprietary community network of 30 million active users and 700,000+ shared LoRA models - The massive cloud GPU cluster subsidization and rate-limit allocations required to run continuous video and image generations affordably - The complex ComfyUI visual node execution pipeline at scale ## What it does An all-in-one generative AI content creation platform and community allowing users to generate images, videos, character chats, and specialized digital workflows. ### Core features - Text-to-image art generation with custom LoRA and style presets - Text-to-video cinematic generation and motion control - AI character chat with customized personas - Specialized image tools (upscaling, face-swapping, in-painting, background removal) - Community feed with social remixing, model sharing, and tagging - Daily refreshing Stamina/credit token billing and stamina metering system - ComfyUI-backed visual node pipeline execution environment ## The business ### Pricing - Free Plan: Free — ~150 daily Stamina credits, standard queue, basic resolutions. - Beginner Plan: $5.99/mo — ~300 daily Stamina credits. - Standard Plan: $29.99/mo — ~1,800 daily Stamina credits, priority queue, video generation access, watermark-free. - Professional Plan: $59.99/mo — ~4,000 daily Stamina credits. - Master Plan: $149.99/mo — ~12,000 daily Stamina credits. ### Funding Unknown raised. - Small early seed / bootstrap-to-venture hybrid Investors: Undisclosed institutional funds, Strategic cloud credits partners (e.g. Google Cloud) Founded 2023. Team size: 10 to 50 employees. ## The hard parts - GPU orchestration and inference queue management across expensive foundation models without bankrupting cloud budgets - Replicating a robust ComfyUI node pipeline backend programmatically for complex multi-image latent blending - Handling massive concurrent asset storage and streaming for high-resolution images and videos - Implementing automated NSFW and content safety moderation filters at scale ## How to vibe code SeaArt AI ### Prerequisites - Node.js (free): Required runtime for building and running the full-stack Next.js application. - GitHub (free): Source code control and deployment pipeline integration. - Fal.ai Account (Usage-based): Provides fast, scalable API access to Flux image and open video models. ### Recommended AI tools - Claude Code: Best-in-class agentic coding tool for scaffolding multi-file apps and debugging async inference queues. - Cursor: Great for iterative frontend work on the complex dashboard UI and node workflow designer. ### Stack - Frontend: Next.js with Tailwind CSS and shadcn/ui - Backend: Next.js API routes / server actions with background queues - Database: Neon (Serverless Postgres for user states and prompt histories) - Auth: better-auth - Payments: None (Personal use clone) - Other: fal.ai API for model inference, Cloudflare R2 for generated asset storage, Vercel AI SDK ### Hosting - Vercel (Hosting the Next.js frontend and serverless API endpoints): $0-20/mo - Neon (Serverless Postgres database storing user credits, generations, and prompt history): $0/mo - Cloudflare (R2 object storage for saving high-resolution generated images and video clips with zero egress fees): $0-5/mo ### Build guide 1. **Project Scaffolding & Database Schema** — Initialize the Next.js application with Tailwind CSS, configure better-auth, and set up the Neon Postgres database schema for users, credits/stamina balances, generations, and prompt histories. ``` Scramble a fresh Next.js project using App Router, Tailwind CSS, and TypeScript. Set up better-auth for secure user credentials. Create a Neon Postgres database schema using Drizzle ORM containing tables for users (with stamina_balance integer field), generations (id, user_id, prompt, model_name, image_url, status, created_at), and community_presets. Ensure all database migration scripts are ready and verify local connectivity. ``` 2. **Dashboard UI & Stamina Credit Tracker** — Build the core user dashboard, sidebar navigation, gallery feed, and stamina credit counter widget using shadcn/ui components. ``` Build a responsive dashboard layout using Tailwind CSS and shadcn/ui components mimicking an AI creativity suite. Include a persistent sidebar with links for 'Image Generator', 'Video Generator', 'Community Feed', and 'Character Chat'. In the top navigation bar, display a live Stamina Credit Tracker widget that fetches and displays the logged-in user's remaining daily credits from the database. Implement the frontend views for each tab with placeholder states. ``` 3. **Image Generation Pipeline & fal.ai Integration** — Integrate the fal.ai API to handle text-to-image generation requests, deduct stamina credits upon execution, and store output assets in Cloudflare R2. ``` Implement the text-to-image generation backend route in Next.js. Connect to the fal.ai API to run Flux Schnell or SDXL generation requests based on user prompt inputs, negative prompts, and aspect ratio settings. Before triggering the generation, write a server action that verifies the user has sufficient stamina credits, deducts the cost, and creates a pending generation record. Once fal.ai returns the image, download the asset, upload it to Cloudflare R2 storage, update the generation record status to completed with the public asset URL, and return the result to the frontend. ``` 4. **Asynchronous Task Queue & Polling Interface** — Build an asynchronous processing queue and frontend polling mechanism to handle long-running video and image generation jobs smoothly without request timeouts. ``` Refactor the generation pipeline to support asynchronous task processing. When a generation request is submitted, queue the job status as 'processing' in the database and return immediately to the frontend. Implement a client-side polling mechanism using React hooks that checks the generation status endpoint every 3 seconds until the job completes or fails, updating the UI gallery grid in real-time with loading skeletons and final previews. ``` 5. **Community Feed & Asset Remixing** — Create a community sharing feed where users can publish their generated creations, view public prompts, and one-click 'remix' prompts into their own generator inputs. ``` Build a 'Community Feed' page displaying a masonry grid of public user generations fetched from the database, including creator usernames, prompt text, and model tags. Implement a 'Publish to Community' toggle button on user generation items. Add a 'Remix' action button on each community card that copies the prompt and settings directly into the active generator input parameters and redirects the user to the generator view. ``` 6. **AI Character Chat Module** — Implement a chat interface allowing users to interact with custom-persona AI characters using the Vercel AI SDK and an LLM backend. ``` Create an 'AI Character Chat' module using the Vercel AI SDK (`useChat`). Build a sidebar list of custom AI characters with avatars and system prompts stored in the database. Implement a messaging interface view with markdown support, streaming response rendering, and conversation history tracking saved to Neon Postgres per user session. ``` ### Cost vs paying **Starting costs (one-time):** - Custom Domain (optional): $12/yr - Initial fal.ai API Credits: $10 one-time - Total: ~$22 one-time **Ongoing costs (monthly):** - fal.ai Model Inference API Usage: ~$10-20/mo - Vercel / Neon / Cloudflare R2: $0-5/mo - Total: ~$15-25/mo - Paying for the SaaS instead: $29.99/mo (Standard Plan) - Build time: 45-60 hours - AI tool credits: $20 (Claude Pro / Cursor) - Break-even: Roughly break-even on cost, but thousands of hours short of the community ecosystem value ## Sources - [SeaArt AI Official Website](https://seaart.ai) - [GetLatka - SeaArt Revenue & Valuation Profile](https://getlatka.com) - [TechBullion - SeaArt Growth, MAU, and ARR Metrics](https://techbullion.com)