Chinese to English Image Prompt: Structure, Style, and --ar
Some models accept Chinese directly, but English prompts are usually more reliable in mainstream image tools. The key is to split the description into subject, style, composition, lighting, and parameters instead of writing one long sentence.
Open the tool：Image Prompt Builder
When a structured prompt matters
If you already know what the image should look like but cannot get it out of the tool, the problem is usually missing structure rather than missing vocabulary.
Paste a whole Chinese paragraph and the model picks out a few nouns. Split it into fields and you can see which part was not understood.
- Keeping a consistent look across a series of images.
- Controlling framing, aspect ratio, and camera angle rather than leaving them to chance.
- Reproducing a style you saw elsewhere without copying a specific artist's work.
Build the prompt in this order
Subject first: who or what, doing what, wearing or made of what. Then setting, medium and style, composition and lens, lighting, colour, and finally parameters. Concrete beats abstract: a girl in a red raincoat outside a convenience store gives the model far more to work with than a girl.
Pick one or two style anchors, not ten; stacked style words fight each other. In Midjourney, --ar 16:9 sets the aspect ratio and parameters go at the end. Negative prompts belong in the tool that supports them, such as Stable Diffusion. Text rendering is still unreliable, so do not expect a prompt to produce a legible sign.
- Change one variable at a time so you can tell what caused the difference.
- Describe lighting explicitly, whether overcast, golden hour, or hard flash, because it changes the mood more than most style words.
- Use English when the tool's training data is mostly English; it is a data issue, not a rule about Chinese.
- Keep a saved prompt that worked and edit from it rather than starting over.
Limits
A prompt cannot guarantee exact composition, correct hands, or readable text, and results vary between runs. Check the model's licence before commercial use.
Midjourney, Stable Diffusion, and DALL·E respond differently to the same words, so a prompt written for one does not transfer unchanged to another.
- For precise placement, use image-to-image, inpainting, or compositing instead of piling on more words.
- For real people or brands, clear likeness and trademark rights first.
FAQ
Can I use Chinese prompts for AI image generation?
Often yes, and some models handle Chinese well. English is usually more stable in mainstream tools because their training captions are mostly English; if a Chinese prompt gives inconsistent results, translate the structure rather than adding more words.
What does --ar do?
It sets the aspect ratio in Midjourney, for example --ar 16:9 for widescreen or --ar 9:16 for vertical. It goes at the end of the prompt with the other parameters.
Why does the result look nothing like my description?
Usually too many competing style words, a vague subject, or an aspect ratio fighting the composition. Cut to one style, describe the subject concretely, and change one variable at a time.
Related tool：Image Prompt Builder