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.
Visit website↗Not priced
No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.
$100one-off80 h to build
$150/mo10 h/mo upkeep
No published price to break even against.
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. All SeaArt alternatives, with the arithmetic →
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- SeaArt-hosted proprietary models and any unpublished model weights (e.g., Seedance 2.0 4K)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
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
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
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 checked
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.
- official productSeaArt homepage
- official docsSeaArt features
- official pricingSeaArt pricing
- open sourceopen-mmlab/mmagic
- open sourcevladmandic/sdnext
Integrity checks
What held up, and what did not.
