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CAN I VIBECODE

OpenArt?

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

OpenArt (openart.ai) is a commercial AI creator studio for images and video. Core workflow: users type a text prompt (or upload a reference image), select from multiple hosted image models (GPT Image 2, Nano Banana 2/Pro, Recraft V4, WAN 2.7, Kling Omni, Seedream 4.5/5.0 Lite, and legacy models), and generate images in seconds. Platform features include text-to-image and image-to-image generation, inpainting/outpainting region editing, background removal, upscaling, a prompt enhancer that rewrites rough ideas into detailed AI-friendly prompts, and a character-consistency tool that locks a face/subject across generations. It also offers AI video generation with consistent characters. Pricing is subscription-plus-credits: Free (40 one-time credits, no commercial rights), Essential $14/mo (~4,000 credits, no commercial rights), Advanced $29/mo (~12,000 credits, commercial rights), Infinite

RESEARCHED BUILD PROMPT

Give this to your coding agent.

Build "SketchForge AI", a focused replacement for the AI-image-generation studio OpenArt (openart.ai). Do not copy OpenArt's brand, logo, marketing copy, page layout, color scheme, or trademarked assets.

Core workflow:
1. User enters a text prompt (or uploads a reference photo).
2. User picks one image model from a dropdown (mock at least 3: e.g., "Realistic Photo", "Anime", "Vector Illustration" — do NOT call real external APIs by default; implement a local deterministic mock generator that composites placeholder shapes/noise derived from the prompt, or wire an optional BYO-API key field for a real provider like Stability/Replicate).
3. User clicks Generate and sees 4 candidate images in a grid (mocked or real).
4. User clicks one image to open an editor: rectangular inpainting mask (drag to select a region, type a replacement description, apply locally), outpainting (extend canvas by N px with simple content mirroring), background replacement (one-click with a color or description), and upscale (2x nearest/bilinear).
5. User can mark an image as a "character reference"; subsequent prompts include a toggle "Use character reference" that appends a locked identity descriptor to the prompt.
6. A "Prompt Enhancer" button rewrites the raw prompt with a simple template (style + mood + lighting + composition) before generation.
7. Results appear in a history sidebar (thumbnail, prompt, model, timestamp); click to restore.

User-facing requirements:
- Single-page app with left prompt panel, center canvas/editor, right history rail.
- No-login demo mode with local-only persistence (localStorage); optional mock login.
- Toast notifications for errors; credit counter (500 mock credits, subtract per generation/edit).

Technical requirements:
- React 18 + Vite front end; Express or Fastify back end (or Next.js if preferred).
- Local mock generator: seeded PRNG from prompt hash so results are deterministic per prompt — do not pretend real AI quality.
- Optional BYO-API: if the user pastes an API key, route generate/edit calls to a real provider (document the interface).
- Canvas editing via HTML5 Canvas API (no heavy libraries) or Fabric.js if convenient.
- State management via React hooks/context; no Redux needed.
- README must cover: setup (npm install && npm run dev), how the mock generator works, how to add a real provider key, what is intentionally not implemented (real model training/fine-tuning, video generation, multi-user collaboration, billing/credit purchases, production auth, GPU inference), and a legal note about not including OpenArt's trademarks or assets.

Deliberately out of scope: AI video generation, custom model training, team billing, server-side persistence, mobile-native apps, real GPU inference (mock only unless the user provides a key), and any scraping or API calls to openart.ai itself.
Visit the official product page