How to Write AI Prompts: A 6-Step Structure for Reproducible Results
Break a vague request into subject, scene, lighting, material, composition and style to make image generation more stable.
How to Write AI Prompts: A 6-Step Structure for Reproducible Image Results
Break a vague brief into subject, scene, lighting, material, composition, and style to make image output more consistent.
Why a side-by-side comparison matters
The same brief can produce very different results across models. XiuZon cross-checks three signals: one unified Prompt, real user ratings, and real output quality, so you can lock onto the right tool in minutes.
Bottom line first
- For Chinese-language typography and Chinese-style subjects: start with domestic models
- For general instruction following and post-production control: start with international flagships
- For frequent commercial use on a tight budget: start with products that offer a stable free tier
How to use our evaluations
- Open the evaluation page and see every model's output for the same Prompt
- Rate the work you like best; votes land in the rankings in real time
- Combine other users' real output results and ratings to tell a one-off result from consistently strong performance
FAQ
Is XiuZon's evaluation data reliable?
Every piece of work comes from a real call to the unified Prompt, ratings are submitted by registered users, and the rankings pull from public authoritative sites with historical snapshots retained.
How often are the rankings updated?
Rating-system data is snapshotted monthly, while user votes take effect in real time.
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