SeaArt

Model-sharing image platform with checkpoints, LoRAs and ControlNet

AI Image GenerationFree planOverseas★★★☆☆ 3.0

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What is SeaArt?

SeaArt is a community image generation platform in the mould of a model hub rather than a single fixed model. You generate in the browser or in its mobile app, but the substance is the library: thousands of community checkpoints, LoRAs and style packs, plus ControlNet-style conditioning for pose, depth and line art. A daily allowance of in-site currency covers a certain number of generations, and published workflows let you reproduce another user's setup exactly. It suits people who want control over models without maintaining a local install.

Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.

Key features

Text-to-image and image-to-image with community checkpoints
Thousands of LoRAs for characters, styles and specific subjects
ControlNet-style pose, depth and edge conditioning
Inpainting, outpainting and background removal in the web editor
Workflow sharing so other users' settings can be reused
Companion mobile apps for generation away from a desktop

Pros & cons

Strengths

Huge model library removes the need for a local GPU setup
Fine control over checkpoints, LoRAs and conditioning weights
Daily free allowance is enough for casual use

Watch out for

Interface is dense and takes time to learn
Most community models are trained on anime and stylised art
Daily currency runs out fast at high resolution or batch settings

Best for & use cases

anime and stylised art, character consistency, model experiments and batch generation

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FAQ

What makes SeaArt different from a simple image generator?

The model library and conditioning controls. You choose community checkpoints and LoRAs and steer results with pose or depth references, which is closer to a local Stable Diffusion setup than to a one-prompt web generator.

Is the free allowance enough to be useful?

A daily currency grant covers a modest number of standard generations, which is fine for trying models and making a few images. Heavy batch work or high resolution output burns through it quickly and pushes you to a paid tier.

Can I use my own trained models?

You can upload and publish models, and the platform supports training workflows. Terms for commercial use depend on each model's licence, so check the individual model page before publishing work.