AI imagesCAN I VIBECODE
SeaArt?
BUILD FIRST
- A non-sensitive or read-only version of the core experience
- A manual review step wherever correctness or trust matters
- A narrow companion tool that removes a real piece of work
LEAVE FOR LATER
- Regulated decisions, payments, or irreversible actions
- Claims of correctness, compliance, or uptime that the MVP cannot support
- Sensitive integrations until security, support, and auditability are ready
RESEARCH NOTES
What this tool actually does.
SeaArt AI (seaart.ai) is a free-to-use AI art platform on web, Android, and iOS. It offers classic generative workflows — Text-to-Image, Image-to-Image, and ControlNet — where users pick a model, type prompts, and tune parameters. It also ships Sovart, a conversational 'AI art agent' that creates and edits images, videos, posters, audio, and 3D designs via natural-language dialogue instead of parameter controls. Its proprietary flagship model, SeaArt Infinity, targets ultra-high-definition output, spatial/semantic understanding of complex scenes, and photorealistic detail (hands, skin, fabric). The catalog verdict 'not_really' reflects that the product spans beyond simple AI image generation into a multimodal creative suite with community-hosted models and agentic editing.
RESEARCHED BUILD PROMPT
Give this to your coding agent.
Build a focused replacement for SeaArt AI's core image-generation workflow, including its Sovart-style conversational assistant. The app must support two modes: (1) Classic mode: user selects a model from a curated list, enters a text prompt, sets parameters (aspect ratio, steps, seed, guidance scale), and generates one or more images; results appear in a gallery with download and regenerate actions. (2) Chat mode: user describes an image or an edit in natural language ('a red car at sunset', 'change background to beach'); the backend converts the message into structured generation/edit calls, returns the image inline in the conversation, and supports follow-up edit commands ('make it brighter', 'add a cat'). User-facing requirements: responsive web app with a canvas-style image viewer, side-by-side before/after for edits, prompt history, model picker, parameter panel, and session persistence. Technical requirements: React/Next.js frontend; Node.js or Python backend; PostgreSQL for users/sessions/history; S3-compatible object storage for generated images; an LLM-based chat-to-prompt/latent-edit translator; image generation via Stable Diffusion XL or FLUX-compatible API (e.g., Replicate, Stability, or local ComfyUI); WebSocket or SSE for generation progress streaming. Implementation approach: server-rendered Next.js app with an API layer; the chat agent uses function-calling to invoke generate/edit endpoints rather than free-form responses. Do not copy SeaArt's brand, logo, exact UI layout, or proprietary model names (e.g., SeaArt Infinity, Sovart). Deliberately out of scope: video generation, 3D/audio creation, community model upload marketplace, mobile native apps, social features, and multi-language support. Include a README with setup instructions, environment variables, API-key prerequisites, and important limitations (e.g., no real-time model training, moderation constraints, rate limits, and that the edit agent's accuracy depends on the underlying image-editing model).