Craft production-ready text-to-video prompts for 即梦 Dreamina video models (视频3.0 Pro, Doubao Seedance 2.0, Seedance 1.5, Seedance 1.0, 智能多帧).
Use this skill when the user:
Do NOT use this skill for:
即梦 has multiple video model lines. The core writing approach differs by model:
| Model | Formula | Key Difference |
|---|---|---|
| ------- | --------- | ---------------- |
| 视频3.0 / 3.0 Pro | 主体 + 动作 + 场景 + 镜头 + 风格 + (情绪演绎) + (照明) | 自然语言自由书写; 支持切镜和创意特效 |
| Doubao Seedance 2.0 系列 | 主体 + 动作/运动 + 空间背景/光影/风格 + 镜头调度/音效 | 支持T2V/I2V/R2V/V2V; 原生音频+视频联合生成; 多模态参考(图片/音频/视频); 支持文字生成(广告语/字幕/气泡台词); 支持视频编辑(元素增删改/延长/轨道补齐) |
| Seedance 1.5 Pro | 主体 + 动作 + 场景 + 镜头 + 风格 | 更快的生成速度 |
| Seedance 1.0 Pro / Pro Fast | 主体 + 动作 + 场景 + 镜头 + 风格 | Pro Fast: 极致速度 |
| 图生视频 (I2V) | 动作 + 镜头 + (情绪/照明) | 由图像提供主体+场景, 提示词只控制动态 |
| 智能多帧 | [多帧图像] + [每帧时长] + [运镜提示词] | 多图驱动一镜到底; 上传2-10帧; 每帧1-6s |
The video prompt formula extends the image formula with two critical dimensions: motion and camera.
For 视频3.0/3.0 Pro 文生视频:
主体 + 动作 + 场景 + 镜头 + 风格 + (情绪演绎) + (照明)
For 图生视频 (image-to-video):
动作 + 镜头 + (情绪/照明)
For Doubao Seedance 2.0 系列 文生视频:
主体 + 动作/运动 + 空间背景/光影/风格 + 镜头调度/音效
The key difference from text-to-image prompting:
→ Load rules/video-category-table.md to match user's request to the right category and example file
Load video vocabulary — choose by what you need:
| 需要什么 | 加载文件 |
|---|---|
| ---------- | ---------- |
| 人物动作、自然动态、动物动态、机械运动 | video-words/motion.md |
| 场景环境、视频画质、视频风格、氛围情绪、节奏描述 | video-words/scene-style.md |
Load camera movement references — choose by complexity:
| 需要什么 | 加载文件 |
|---|---|
| ---------- | ---------- |
| 推拉摇移跟升降 | camera-basic.md |
| 环绕、一镜到底、希区柯克、运镜情感映射 | camera-advanced.md |
Load reference guides:
references/jimeng-video-3.0-guide.md — when user mentions 视频3.0/3.0 Proreferences/smart-multi-frame-guide.md — when user mentions 智能多帧/多帧/一镜到底For color descriptions, cross-reference text2image's color-library/chinese-traditional.md or gugong-384-colors.md.
→ Load rules/video-core-methodology.md for component-by-component build guide + presentation format
→ Load rules/video-writing-rules.md for all 10 rules (motion, camera, duration, light, model-matching, differentiation, action layers)
→ Load rules/video-validation-checklist.md and run through all checks
When the user provides an existing prompt output and asks for evaluation ("评估""检测命中率""看看优化方向"):
→ Load references/evaluation-framework.md for the systematic 6-dimension assessment methodology
#RRGGBB values get rendered as text in the video frames, NOT as color instructions. Use Chinese color names only| Resource | Description | When to Load |
|---|---|---|
| ---------- | ------------- | -------------- |
rules/video-category-table.md | 12 video scenario categories | Step 1 |
rules/video-core-methodology.md | Component-by-component build guide | Step 3 |
rules/video-writing-rules.md | 10 video-specific writing rules | Step 4 |
rules/video-validation-checklist.md | 基础+进阶+多方案校验清单 | Step 5 |
video-words/motion.md | Motion vocabulary library | When writing motion descriptions |
video-words/scene-style.md | Scene/style/vocabulary library | When describing scenes |
camera-basic.md | 7 basic camera movements | Basic camera work needed |
camera-advanced.md | 7 compound moves + emotion mapping | Advanced camera work |
references/jimeng-video-3.0-guide.md | 视频3.0/3.0 Pro: 8 dimensions | User mentions 视频3.0 |
references/smart-multi-frame-guide.md | 智能多帧: 多图一镜到底 | User mentions 智能多帧/多帧 |
references/evaluation-framework.md | 6维评估框架: 词库命中率/规则遵从度/公式完整性/模型匹配/区分度/校验 | User asks to assess/evaluate skill output |
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