Diagnosis
| Problem | Evidence in your prompt | Confidence |
|---|---|---|
| Three mixed styles | "cyberpunk watercolor oil painting" names three media. The model blends them. | Likely |
| Never night and day at once | "at night" and "bright sunny day" contradict each other. The model picks one or averages them. | Likely |
| Messy and cluttered | "minimalist but very intricate" contradicts itself. Three held objects plus a sign plus a forest is a lot for one image. | Likely |
| Too many fingers | The girl holds a sword, a bouquet and a lantern, which needs several complex hand grips. Many generators handle hands badly. | Likely |
| Gibberish sign text | Many generators render long text unreliably, and a 5-word all-caps phrase is a hard case. | Likely |
| "no bad hands" does nothing | Many tools read "hands" as something to draw and ignore the "no". It can even draw more attention to hands. | Possible |
| Filler words add nothing | "beautiful stunning masterpiece 8k ultra detailed" is abstract and gives the model nothing to draw. | Possible |
Minimal fix
Changes are in bold.
beautiful stunning masterpiece 8k ultra detailedgirl in a red dress standing in a forest at night,bright sunny day,holding a lantern only,a sword and a bouquet of flowers andwatercolor painting style,cyberpunk watercolor oil painting style, minimalist but very intricate,a wooden sign reading "WELCOME"that says 'WELCOME TO THE ENCHANTED WOODS', no bad hands
Clean rewrite
A girl in a red dress standing on a forest path at night, holding a glowing lantern in one hand, the other arm relaxed at her side. Full-body shot, centered, with tall dark trees behind her and a small wooden sign reading "WELCOME" to her left. Warm lantern light on her face and dress, deep blue moonlit shadows. Watercolor painting, soft washes, simple background.
If your tool has a negative prompt field, put this there: extra fingers, deformed hands, blurry text, mixed styles.
Variants to test
- Night and day together. Keep the rest, but change the light to "dusk, last orange sunset glow on the horizon, deep blue sky above, lantern lit". Dusk is the closest a single image gets to night and day at once. Look for whether the light now looks coherent.
- Keep the sword and flowers. Use "holding a lantern in her left hand, a sword sheathed at her belt", and drop the bouquet. Look for whether the hands stay correct when one hand is holding the lantern and the other is empty.
For a cyberpunk look, make that a separate test. Use "oil painting, neon pink and teal rim light" in place of watercolor. Don't combine it with the other styles.
Test plan
- Change one thing at a time and generate 3–4 images per version with the same settings.
- If hands are still wrong, crop or hide them: "hands behind her back", or a waist-up shot with the lantern at the edge of the frame.
- For the sign, either shorten it to one word (as above) or leave it blank ("a blank wooden sign") and add the text in an image editor afterward. This is the most reliable method.
What I couldn't tell
- Which tool you're using. This matters for several things:
- Midjourney and Stable Diffusion use negative prompts differently (
--noand a negative field). Tools like DALL·E or ChatGPT image generation usually have no negative field, so describe what you want instead. - Newer models handle text and hands much better than older ones, so your results may improve just by switching.
- Midjourney and Stable Diffusion use negative prompts differently (
- What your images look like. If you share one, I can tell you more precisely what went wrong.
- Check your tool's docs for how it handles negative prompts, text rendering and aspect ratio. A tall ratio like 2:3 suits a full-body standing figure.
Real run in an isolated folder with only this skill installed. Only the Skill and Read tools were enabled, so no command was run and no file was written. The scenario is fictional. No image was generated: the model only wrote text prompts, so how well they work depends on the image tool you use. The model could not see any generated image, so its diagnosis is a set of hypotheses to test.
它做什麼
像除錯程式一樣工作：先蒐集完整的提示詞、所用工具與哪裡不對，再對照一張常見問題表來讀提示詞（部分內容被忽略、結果平淡、畫面雜亂、風格混搭、自相矛盾、構圖不對、光線平、顏色串色、手部變形、文字亂碼、多出不想要的元素、每次結果不一樣）。對每個問題，它會指出提示詞裡的證據與把握程度，然後給出標出改動的最小修改、一版乾淨的重寫，以及兩個各只測試一件事的變體。
還涵蓋
測試計畫（一次只改一個變數、每個版本生成多張、在相同設定下比較）、什麼時候是工具或模型本身的限制，以及因為看不到圖片或工具的行為而無法判斷的部分。
適合什麼場景
「不好用」的提示詞、總缺某個細節的圖，以及想弄清哪些詞真正起作用。
低風險：純指令檔，沒有腳本，不連網、不寫檔。它依據提示詞與你對結果的描述來判斷；你不分享圖片的話它看不到圖，也不知道你的工具如何給詞加權，所以每個診斷都是需要測試的假設。它不會協助繞過工具的安全過濾或使用條款、冒用真實人物來欺騙，或製作涉及真人或未成年人的色情內容。關於反向提示詞與文字算繪的行為，請查看所用工具的文件。AIBars 原創（MIT）。已用一條虛構的混亂提示詞試用過一次；沒有生成圖片。