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CAN I VIBECODE

SeaArt?

NOT REALLYA prototype of the interface is possible, but the durable product depends on difficult systems beyond the UI. Build a safer adjacent workflow instead.

BUILD FIRST

  1. A non-sensitive or read-only version of the core experience
  2. A manual review step wherever correctness or trust matters
  3. A narrow companion tool that removes a real piece of work

LEAVE FOR LATER

  1. Regulated decisions, payments, or irreversible actions
  2. Claims of correctness, compliance, or uptime that the MVP cannot support
  3. Sensitive integrations until security, support, and auditability are ready

RESEARCH NOTES

What this tool actually does.

Checked 2026-09-06

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).
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