← 返回
未分类

即梦-图生视频提示词技能,让你的提示词更精准

Provides comprehensive guidance for crafting image-to-video (图生视频) prompts for 即梦 (Dreamina/Jimeng) Seedance 2.0. Image-to-video prompts are incremental — the reference image provides the visual content, the prompt only describes what moves and changes. This skill covers 4 sub-modes: single image→video (单图生视频), first-last frame transition (首尾帧), multi-frame storyboard narrative (多帧故事), and multi-modal reference compositing (全能参考). Use when the user has reference image(s) and wants to animate the
Provides comprehensive guidance for crafting image-to-video (图生视频) prompts for 即梦 (Dreamina/Jimeng) Seedance 2.0. Image-to-video prompts are incremental — the reference image provides the visual content, the prompt only describes what moves and changes. This skill covers 4 sub-modes: single image→video (单图生视频), first-last frame transition (首尾帧), multi-frame storyboard narrative (多帧故事), and multi-modal reference compositing (全能参考). Use when the user has reference image(s) and wants to animate them into a video; mentions \"图生视频\", \"image2video\", \"图片转视频\", \"让这张图动起来\", \"首尾帧\", \"故事板\", \"多帧故事\", \"frames2video\"; or provides images and asks to generate a video from them. This skill covers 4 sub-mode templates with 18 annotated examples, a mode decision tree, and I2V-specific incremental description vocabulary. Always use this skill when the user wants to animate reference images into video using 即梦.
PartMe.AI
未分类 community v1.0.0 1 版本 100000 Key: 无需
★ 0
Stars
📥 90
下载
💾 0
安装
1
版本
#latest

概述

jimeng-prompt-text2video — 即梦文生视频提示词

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).

When to use this skill

Use this skill when the user:

  • Asks you to write a video generation prompt ("帮我写个视频提示词")
  • Describes a scene they want as a moving image / video
  • Wants to refine or optimize an existing video prompt
  • Mentions keywords like: 文生视频, text2video, 视频生成, 视频提示词, 运镜, camera movement, Seedance
  • Asks about how to describe motion, camera work, or temporal progression in a prompt

Do NOT use this skill for:

  • Executing CLI commands to generate videos → use jimeng-cli-text2video
  • Writing image-to-video prompts → use jimeng-prompt-image2video
  • Writing text-to-image prompts → use jimeng-prompt-text2image

Model Version Guide

即梦 has multiple video model lines. The core writing approach differs by model:

ModelFormulaKey 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

Core Methodology

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:

  • Motion is mandatory: a video without motion is just a still image
  • Camera adds storytelling: how the camera moves determines the viewer's emotional experience
  • Duration shapes pacing: a 5-second clip needs different action density than a 10-second clip
  • For 视频3.0 Pro specifically: 自然语言自由书写, 核心思路是"直观表达出你想要的效果"
  • For Doubao Seedance 2.0: 支持多模态参考(图片/音频/视频), 可在提示词中用"图片1""图片2"指代参考素材

How to use this skill

Step 1: Identify video scenario category

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

Step 2: Load reference materials

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 Pro
  • references/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.

Step 3: Build the prompt

→ Load rules/video-core-methodology.md for component-by-component build guide + presentation format

Step 4: Apply video writing rules

→ Load rules/video-writing-rules.md for all 10 rules (motion, camera, duration, light, model-matching, differentiation, action layers)

Step 5: Validate

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

Step 6 (User assessment): Evaluate prompt output

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

Gotchas

  1. Action must be explicit — 即梦 cannot infer motion from static description. "一个人在街上" = static shot
  2. Complex interactions fail — multi-person interactions + camera movement = distortion risk
  3. Chinese camera terms work better — "镜头缓缓推近" > "dolly in slowly"
  4. Seedance quality/speed tradeoff — seedance2.0 = highest quality/slowest; fast = faster/lower quality
  5. Duration-to-action matching — 5s with 3-stage action = rushed. Match complexity to time
  6. First-time web authorization — some models require browser auth before first use
  7. Character consistency not guaranteed — same face across segments not reliable
  8. Camera + complex motion = risk — prioritize one over the other
  9. Model-prompt mismatch is the #1 output killer (Rule 8) — long descriptive prose → 视频3.0 Pro; structured short sentences → Seedance 2.0. Mismatching causes detail loss and poor generation. This is the single most common error in real usage.
  10. Action layer count by model (Rule 10) — Seedance 2.0 can't handle 4+ action layers reliably. Cap at 3. 视频3.0 Pro can handle 4-5.
  11. Multi-scheme differentiation is non-optional (Rule 9) — When providing 2+ alternatives, verify visual distinction. At least 2 dimensions must differ (运镜/动作密度/景别/节奏/场景). Similar schemes waste user's time.
  12. Light must change, not just exist (Rule 5) — "洒入" is a static snapshot. Use "缓缓流动""逐渐变亮""光影移动" to encode time passage.
  13. ⚠️ Never write hex color codes in video prompts — Same as image prompts: #RRGGBB values get rendered as text in the video frames, NOT as color instructions. Use Chinese color names only

Available Resources

ResourceDescriptionWhen to Load
-------------------------------------
rules/video-category-table.md12 video scenario categoriesStep 1
rules/video-core-methodology.mdComponent-by-component build guideStep 3
rules/video-writing-rules.md10 video-specific writing rulesStep 4
rules/video-validation-checklist.md基础+进阶+多方案校验清单Step 5
video-words/motion.mdMotion vocabulary libraryWhen writing motion descriptions
video-words/scene-style.mdScene/style/vocabulary libraryWhen describing scenes
camera-basic.md7 basic camera movementsBasic camera work needed
camera-advanced.md7 compound moves + emotion mappingAdvanced camera work
references/jimeng-video-3.0-guide.md视频3.0/3.0 Pro: 8 dimensionsUser 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.md6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

版本历史

共 1 个版本

  • v1.0.0 Initial release 当前
    2026-05-27 13:24 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

🔗 相关推荐

即梦-文生图 CLI 技能,让你的智能体通过 即梦 CLI 生成图片

user_c1d16043
Provides comprehensive guidance for executing text-to-image generation via the dreamina CLI for 即梦 (Dreamina/Jimeng). Th
★ 2 📥 154

即梦-图生图提示词技能

user_c1d16043
Provides comprehensive guidance for crafting image-to-image (图生图) edit prompts for 即梦 (Dreamina/Jimeng) models 4.0+. Use
★ 0 📥 94

即梦-文生图提示词技能,让你的提示词更精准

user_c1d16043
Provides comprehensive guidance for crafting text-to-image prompts for 即梦 (Dreamina/Jimeng) AI image generation. Use whe
★ 0 📥 103