Jimeng Prompt Text2image

jimeng-prompt-text2image — 即梦文生图提示词

Craft production-ready text-to-image prompts for 即梦 (Jimeng/Dreamina) models.

When to use this skill

Use this skill when the user:

• Asks you to write an image generation prompt ("帮我写个提示词")
• Describes an image they want and needs it turned into a proper prompt
• Wants to refine, optimize, or translate an existing prompt
• Mentions keywords like: 提示词, 文生图, text2image, AI绘画, AI生图, prompt, 文字成图
• Asks about how to describe a specific visual scene, style, or effect

Do NOT use this skill for:

• Executing CLI commands to generate images → use jimeng-cli-text2image
• Writing video prompts → use jimeng-prompt-text2video
• Image-to-image editing prompts → use jimeng-prompt-image2image

Core Methodology

The prompt formula is a reasoning framework — not a rigid template. Apply it flexibly:

[主体/人物] + [场景/背景] + [动作/姿态] + [风格/艺术类型] + [光线/色彩] + [构图/视角] + [画质/细节]

Each component is optional. Select and weight components based on the scenario:

• Portrait: emphasize subject, expression, clothing, lighting, composition
• Landscape: emphasize environment, time/weather, color palette, atmosphere
• Product: emphasize object details, material, background, lighting setup
• Abstract/Artistic: emphasize style, color scheme, texture, mood

How to use this skill

Step 1: Identify scenario category

→ Load rules/category-table.md to match user's request to the right category and example file

Step 2: Load reference materials

Load the relevant vocabulary files from word-library/ based on what you need — never load the whole library:

Load color references — choose by what the user says:

Load model-version-specific references:

Step 3: Build the prompt

→ Load rules/core-methodology.md for component-by-component guidance

Step 4: Apply writing rules

→ Load rules/writing-rules.md for all 10 writing rules

Step 5: Validate

→ Load rules/validation-checklist.md and run through all checks

Gotchas

1. 即梦 ignores negations — "不要红色" is interpreted as "红色". Always rewrite as positive descriptions
2. Character consistency is limited — 即梦 cannot reliably maintain the same face across multiple generations. Avoid promising identical characters
3. Aspect ratio drives composition — a prompt written for 16:9 will compose differently than the same prompt at 9:16. Always confirm the intended aspect ratio
4. Style keywords can dominate — strong style keywords (cyberpunk, 水墨, Pixar) can override other elements. Place them carefully in the prompt order
5. Prompt language — 即梦 works best with Chinese prompts. If the user provides English, translate and adapt rather than directly using it
6. ⚠️ Never write hex color values into prompts — The model treats #ff2121, #9d2933 etc. as literal text to render in the image, NOT as color instructions. Always use Chinese color names only: "大红", "胭脂", "桃红" — never "大红 #ff2121" or any form with hex codes
7. Color library is for YOUR reference only — Load color-library/chinese-traditional.md to FIND the right color name to write into the prompt. Do NOT copy hex codes into the output prompt text

Available Resources