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: ask the price first, and stop guessing what a model can do

Ask the price before you spend. New estimate in MCP/CLI: xinyu_estimate_price / xinyu price --model … --size 2K tells you what an image will cost in Xins. It runs the very same logic that charges you, so it is the amount you will actually be billed — not a rough guess.
Your AI assistant now knows what each model can really do. The model catalog now states whether a model can edit images and how many reference images it accepts (8–16, depending on the model). Several models that do support editing were not marked as such, so assistants were telling you they couldn't.
The model must be named — no more silent default. Generating through MCP without specifying a model used to run on a default model and bill you for it. Now it asks you to name one, and nothing is charged.
Recover a slow job in one call — and never pay twice. New xinyu_wait_for_job / xinyu job wait <id> blocks until the job finishes. Job lists can be filtered by canvas, so a job is findable even if you lost its id. Timeout messages now say plainly: you already paid, do not generate again.
One more way to look at an image. Added qwen3.7-plus (images only) — it can read some images other models refuse.

To get it: MCP users just restart the client; CLI users run npm i -g @xinyuai/cli@latest.