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Skillsjimeng-prompt-text2video

jimeng-prompt-text2video

Design & creation

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Updated 10-16 08:47

About this skill

jimeng-prompt-text2video — Jimeng text-to-video prompts

Craft production-ready text-to-video prompts for Jimeng Dreamina video models (Video 3.0 Pro, Doubao Seedance 2.0, Seedance 1.5, Seedance 1.0, Smart Multi-Frame).

When to use this skill

Use this skill when the user:

  • Asks you to write a video generation prompt ("help me write a video prompt")
  • Describes a scene they want as a moving image / video
  • Wants to refine or optimize an existing video prompt
  • Mentions keywords like: text-to-video, text2video, video generation, video prompt, camera movement, 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

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

Model Formula Key Difference
Video 3.0 / 3.0 Pro Subject + Action + Scene + Camera + Style + (Emotional performance) + (Lighting) Free-form natural language writing; supports shot cuts and creative effects
Doubao Seedance 2.0 series Subject + Action/Motion + Spatial background/Lighting/Style + Camera movement/Sound effects Supports T2V/I2V/R2V/V2V; native audio+video joint generation; multimodal reference (image/audio/video); supports text generation (ad copy/subtitles/speech bubbles); supports video editing (element add/delete/modify/extend/track completion)
Seedance 1.5 Pro Subject + Action + Scene + Camera + Style Faster generation speed
Seedance 1.0 Pro / Pro Fast Subject + Action + Scene + Camera + Style Pro Fast: extreme speed
Image-to-video (I2V) Action + Camera + (Emotion/Lighting) Subject+scene provided by the image; the prompt only controls motion
Smart Multi-Frame [Multi-frame images] + [Duration per frame] + [Camera movement prompt] Multi-image-driven single continuous shot; upload 2-10 frames; 1-6s per frame

Core Methodology

The video prompt formula extends the image formula with two critical dimensions: motion and camera.

For Video 3.0/3.0 Pro text-to-video:

主体 + 动作 + 场景 + 镜头 + 风格 + (情绪演绎) + (照明)

For image-to-video:

动作 + 镜头 + (情绪/照明)

For Doubao Seedance 2.0 series text-to-video:

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 Video 3.0 Pro specifically: Free-form natural language writing, the core idea is "intuitively express the effect you want"
  • For Doubao Seedance 2.0: Supports multimodal reference (image/audio/video), you can use "Image 1" "Image 2" in the prompt to refer to reference materials

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:

What is needed Load file
Character action, natural motion, animal motion, mechanical movement video-words/motion.md
Scene environment, video quality, video style, atmosphere and emotion, rhythm description video-words/scene-style.md

Load camera movement references — choose by complexity:

What is needed Load file
Push, pull, pan, tilt, tracking, crane up/down camera-basic.md
Orbit, single continuous shot, Hitchcock, camera movement emotional mapping camera-advanced.md

Load reference guides:

  • references/jimeng-video-3.0-guide.md — when user mentions Video 3.0/3.0 Pro
  • references/smart-multi-frame-guide.md — when user mentions Smart Multi-Frame/multi-frame/single continuous shot

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 ("evaluate" "check hit rate" "see optimization directions"): → Load references/evaluation-framework.md for the systematic 6-dimension assessment methodology

Gotchas

  1. Action must be explicit — Jimeng cannot infer motion from static description. "A person on the street" = static shot
  2. Complex interactions fail — multi-person interactions + camera movement = distortion risk
  3. Chinese camera terms work better — "the camera slowly pushes in" > "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 → Video 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. Video 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 (camera movement/action density/shot size/rhythm/scene). Similar schemes waste user's time.
  12. Light must change, not just exist (Rule 5) — "Sprinkle in" is a static snapshot. Use "slowly flowing""gradually brightening""light and shadow moving" 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

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 Basic + Advanced + Multi-option Validation Checklist 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 Video 3.0/3.0 Pro: 8 dimensions User mentions Video 3.0
references/smart-multi-frame-guide.md Smart Multi-frame: multiple images in one continuous shot User mentions Smart Multi-frame/multi-frame
references/evaluation-framework.md 6-dimension evaluation framework: lexicon hit rate/rule compliance/formula completeness/model matching/distinctiveness/validation User asks to assess/evaluate skill output