XinYu AI (心宇 AI) is a multi-model AI creative platform for creators. At its core is a creative canvas where you generate images, video, audio and text in one place and produce publish-ready work — no switching between tools.

What can XinYu AI do?

On a single canvas: AI image generation, video generation, storyboarding, audio and text creation; with reference-image character locking, free switching between models, native 4K output, and a full pipeline from draft to finished cut.

Which AI models does XinYu AI support?

XinYu AI integrates leading generative models including the full Seedance 2.0 (video), Kling (video), GPT Image 2 and Nano Banana Pro (image), switchable on one canvas — no need to sign up for each provider separately.

There is a free tier to start creating right away; higher usage is via pay-as-you-go credits or a subscription. See the pricing page for details.

How is XinYu AI different from other AI generators?

Most tools are single-purpose generators. XinYu AI is a full creative pipeline: one canvas connecting generation, references, storyboarding and final output — built for creators who actually publish, not just make one image.

Content creators, short-video and short-drama makers, designers, and teams that need to produce AI images and video at scale and consistently.

Does XinYu AI support Chinese?

Yes. The interface is bilingual (Chinese and English), with full Chinese prompt and creative-workflow support.

Can I use XinYu AI via CLI or other tools?

Yes. XinYu AI offers MCP and CLI access, so you can call its generation from MCP-capable tools like Claude and Cursor, and from the command line.

Is XinYu AI expensive?

XinYu AI is pay-as-you-go with credits that never expire, and image, video and audio share one balance — no separate subscription per media type. Compared with signing up and subscribing to each generator separately, the same amount of work costs less. A free tier lets you start immediately, and subscribers get up to 20% bonus on top-ups.

How does XinYu AI pricing work?

Pay-as-you-go credits (shared across image/video/audio) — pay for what you use, credits don't expire; subscriptions are also available with better top-up value. There's a free tier to try first; see the pricing page.

MCP / CLI: the model you pick now always takes effect

The model you pick in MCP / CLI now always takes effect. Previously, if a parameter was written as model (the correct name is model_id), it was silently ignored — the job ran on the default model and was billed normally. You asked for Seedream 5.0 Pro and could get Nano Banana 2 instead. That can no longer happen.
Common spellings are accepted too. model / size / quality / scale are now mapped to the right parameter automatically, so you don't have to check the docs for exact names.
Typos fail loudly. An unrecognised parameter name now returns a clear error naming the right one, instead of spending your Xins on a result you didn't ask for.

To get it: MCP users just restart the client (Claude Desktop / Cursor / Windsurf / Cline); CLI users run npm i -g @xinyuai/cli@latest.