Chinese Negative Prompt Builder (AI Image)

A negative prompt is half of controlling your image

When you generate AI art with Stable Diffusion, Midjourney, ComfyUI or Fooocus, the quality of the result is shaped by two prompts, not one. The positive prompt says what you want; the negative prompt — the 反向 or 负面提示词 — says what you do not want. It is the half people skip and then wonder why their images come out blurry, low-resolution, watermarked, or full of mangled hands. This builder gives you the negative half as a structured checklist: tick the defects you want gone, add anything special, and it assembles a clean, paste-ready negative prompt for you. There is no guesswork about spelling or which English term the community uses, and no scrolling through a 50-word block you copied from a forum and never understood.

The tool groups negatives the way experienced prompters actually think about them. Quality flaws — blur, low resolution, noise, jpeg artifacts, overexposure — are near-universal and belong in almost every render. Anatomy errors — extra fingers, deformed hands, bad proportions, distorted faces — are the single most common reason figure art fails, and a good negative list keeps them on by default. Watermark and text negatives stop the model painting meaningless "fake letters", stray signatures or stock-photo watermarks into the corners of an otherwise good image. And style exclusions let you push the model away from neighbouring looks — saying "no cartoon, no 3D render" when you want photographic realism does as much work as any positive style tag. Because each group is a separate set of checkboxes, you can tailor the list to the subject in seconds: keep anatomy on for people, drop it for a landscape.

Focus the negatives — more is not better

It is tempting to assume that the longer the negative prompt, the cleaner the image — and that instinct quietly backfires. Negatives consume weighting just as positives do, so a wall of fifty terms dilutes the few that matter and can drag the model away from the composition you wanted. The better habit is to start from a small, reliable base — the quality staples plus the anatomy staples for people — and only add a term when you can point to the specific defect it is meant to fix. If your hands are fine but the background is cluttered, reach for the relevant exclusion rather than pasting an entire forum block. A focused negative prompt is both more effective and easier to debug when something goes wrong.

This builder gives you Chinese and English side by side because different models read the two differently. Many Western base models respond most reliably to English negatives, while a number of China-community fine-tunes recognise Chinese terms better; pairing both covers either case, and you are free to delete whichever language you do not need before pasting. Drop the result into Stable Diffusion's Negative prompt field, or place it after Midjourney's --no parameter, and iterate: generate, look at what went wrong, and tick one more box. Because the entire tool runs locally in your browser, nothing you select or type ever leaves your device, is sent to a model, or is stored — so you can refine your negative prompt as many times as you like, completely privately, and keep a clean reusable list at the end.