Why not just use the strongest general model?

Because text is a separate skill. Nano Banana Pro follows staging instructions better; Qwen renders characters correctly. For a frame with a Chinese sign in it, the second matters more.

Does it work for English text too?

Yes, and well. The gap is widest on CJK, but Qwen is a solid choice for any text-heavy frame.

Is it available inside a reel?

Not currently — the reel pipeline publishes GPT Image 2, Nano Banana Pro and Seedream 5.0 Pro. Qwen is available for standalone image generation, and its output can be uploaded as a reference.

Qwen Image 2.0

Qwen Image 2.0 is Alibaba's image model, and the strongest option in this catalog for rendering text inside an image — particularly Chinese, Japanese and Korean, where most Western-trained models produce characters that look right and mean nothing. Title cards, signage, captions and posters are where it earns its place.

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示意模型

規格參數

模型規格

最高解析度

速度

~7s per image

單次點數價格

20 credits / image

能力

支援的功能

AI Text to Image Generator

AI Image to Image

運作方式

核心功能

CJK Text That Reads

Most image models treat Chinese characters as shapes and produce plausible nonsense. Qwen was trained where that is not acceptable, and it shows on any frame that has to carry a word.

Title Cards and Signage

The frames in a reel that carry text — an opening card, a shop sign, a chat screenshot — are exactly the frames a general model fails on.

Bilingual Layout

Handles mixed Latin and CJK in one frame, which is the common case for a bilingual title card.

常見問題

常見問題解答

相關

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