Image and video decision

SeaArt

A technical user can build a limited SeaArt replacement (prompt UI, model calls, storage, and a basic community feed) using existing open-source models and tooling, but reproducing the full product—movie-quality proprietary models, mobile apps, large community and production polish—requires more time and resources.

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SubscriptionCustom pricing
Initial build80 hours
Monthly upkeep10 hours + $150
Evidence3/3 runs agree

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need — the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship.

What a replacement has to do

  • User enters a prompt/selects template → run a model to generate image or video → store result and metadata → present editor/export and allow sharing to a community feed.

What it still won’t have

  • SeaArt-hosted proprietary models and any unpublished model weights (e.g., Seedance 2.0 4K)
  • Mobile apps and app-store distribution
  • Integrated community scale and curated templates/effects
  • Polished UX, analytics, and operational hardening at production scale

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

No published price

SeaArt does not publish a price we could read, so there is nothing to compare against. What building costs is below.

Money you would actually spend

Keep paying

Subscription price × seats × 12

Build it

AI build APIs + hosting

Time you would spend

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal SeaArt-like web app using Next.js for frontend, a Node.js + Express backend, Postgres for metadata, and S3-compatible storage for assets. In scope: 1) prompt UI with model/template selector; 2) server job queue that calls an external image-generation API (or local Stable Diffusion inference) and a separate video-generation API for short clips; 3) store generated files and metadata, produce thumbnails; 4) a simple editor (crop/scale for images, trim for video) and export/download; 5) a community feed that lists creations with pagination and basic likes/comments. Out of scope: mobile app stores, proprietary model training, large-scale streaming or paid billing integration. Include error handling for model timeouts and storage failures, unit tests for API endpoints, and end-to-end smoke tests for the generation + save + feed flow.
How we checked5 sources · 3/3 runs agreed · evidence score 64

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 5 cited sources+3
  • 3/3 assessment runs agreed+4
  • Evidence score64

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time — so the same evidence always produces the same number.

How scoring works →

Cited sources · 5

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 1 moat recorded