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Seedance2 Prompt Engineering

作者 zhongkedy-del · GitHub ↗ · v1.0.2 · MIT-0
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在 OpenClaw 中安装
/install seedance-2-prompt-en
功能描述
Seedance2 Video Generation Prompt Engineering — multimodal reference system, cinematic camera language, audio-video sync, and scene-by-scene prompt patterns...
使用说明 (SKILL.md)

Seedance2 Prompt Engineering Skill

This skill, created by coopeai.com, provides comprehensive guidelines and prompt engineering patterns for writing professional video generation prompts for ByteDance's Seedance2 model, optimized for cinematic creators, brand video producers, and social media content designers.


1. Seedance2 Model Specifications Reference

1.1 Model Variants

Variant Best For
Standard T2V Text-to-video, highest fidelity, full scene generation
Standard I2V Image-to-video, first/last frame anchoring, character consistency
Standard Video Edit Targeted clip editing — swap characters, change actions, modify storylines
Standard Video Extend Extend an existing clip with new continuous shots
Fast T2V / I2V / Edit / Extend Same capabilities, lower latency for real-time workflows
Turbo variants Lowest latency, suitable for prototyping and iterative drafting

1.2 Multimodal Input Limits

Input Type Limit Notes
Images Up to 9 images Characters, style refs, first/last frames
Videos Up to 3 videos, max 15s total Motion, camera work, editing rhythm
Audio Up to 3 MP3 files, max 15s total Music, SFX, dialogue sync
Total files 12 files per generation Prioritize highest-impact inputs

1.3 Output Specifications

  • Duration: 4–15 seconds (user-selectable per generation)
  • Resolution: Native 480p and 720p output
  • Audio: Native joint generation — sound effects, music, and ambient audio are baked in, not layered in post
  • Architecture: Dual-Branch Diffusion Transformer generating video and audio simultaneously

1.4 Content Guardrails

Seedance2 enforces pre-generation restrictions (not post-generation filtering):

  • No real people's likenesses without authorization
  • No copyrighted characters or brand identities
  • No harmful, deceptive, or dangerous content
  • All outputs carry C2PA watermarking for content authenticity

2. @ Mention System — Asset Reference Syntax

Seedance2's most powerful feature is its @ mention system, which lets you explicitly assign each uploaded asset a specific role in the generation.

2.1 Core Syntax

@Image1, @Image2 ... @Image9    — uploaded image files (numbered by upload order)
@Video1, @Video2, @Video3       — uploaded video clips
@Audio1, @Audio2, @Audio3       — uploaded audio files

2.2 Reference Patterns

Goal Prompt Pattern
Anchor the first frame Use @Image1 as the first frame
Anchor the last frame End on @Image2 as the final frame
Copy camera movement Follow @Video1's camera movements exactly
Copy motion choreography Reference @Video1 for the fight choreography
Set background music Use @Audio1 as the background music
Sync cuts to a beat Cut @Image1 through @Image6 to the rhythm of @Video1
Swap character in a clip Replace the woman in @Video1 with @Image1
Extend a clip Extend @Video1 by 8 seconds
Apply fisheye style Apply @Video1's fisheye lens effect to the new scene
Combine location + character Character from @Image1, location from @Image2, camera from @Video1

2.3 @ Mention Rules

  1. Be explicit about role — always state what each asset contributes (style, motion, character, audio). Ambiguous mentions are resolved by the model but may not match your intent.
  2. Number order matters — @Image1 is the first uploaded file, @Image2 the second. Double-check order before running.
  3. Edit vs. reference — if modifying a clip, say "edit @Video1 to...". If using it as a style source, say "reference @Video1 for...".
  4. Match duration on extends — when extending a clip, set generation length to the added duration (e.g., extend by 8s → generate 8s, not 15s).

3. Prompt Engineering Best Practices

3.1 Scene Structure Formula

Write prompts in this order for best results:

[Subject + Action] + [Environment + Atmosphere] + [Camera Language] + [Motion & Pacing] + [Audio Direction] + [Duration Hint]

3.2 Camera Language Vocabulary

Seedance2 responds well to professional cinematography terms. Use these instead of vague descriptions:

Technique Prompt Keyword
Slow push-in slow dolly push toward the subject
Orbit / arc shot orbital camera arc around the subject
Tracking shot continuous tracking shot following the subject
Hitchcock zoom Hitchcock zoom as the character is startled
Crane up camera cranes up to reveal the skyline
Handheld handheld naturalistic camera movement
Static locked-off static locked-off wide shot
Dutch angle slight Dutch angle, tension-building
POV first-person POV shot

3.3 Motion & Pacing Descriptors

Pacing Prompt Example
Slow, elegant slow graceful movement, each step deliberate
Energetic, kinetic fast-paced dynamic motion, high energy
Frozen moment time-freeze effect, subject in mid-air
Beat-synced cuts timed to the drum beat of @Audio1
Continuous flow one unbroken tracking shot, no cuts

3.4 Lighting & Atmosphere

Always describe the lighting source, direction, and quality — not just the mood:

  • Good: "warm golden hour sunlight raking from the left, long soft shadows on the concrete"
  • Bad: "good lighting, warm feel"

Common lighting setups:

Look Prompt
Golden hour warm golden hour sunlight, low angle, long shadows
Night neon neon-lit street, cyan and magenta reflections on wet pavement
Studio clean soft studio softbox lighting, neutral background, no shadows
Dramatic chiaroscuro high contrast chiaroscuro, single hard key light, deep shadows
Overcast natural soft diffused overcast daylight, flat even illumination

3.5 Audio Direction

Since Seedance2 generates audio natively, include audio intent in your prompt:

  • "ambient city sounds, distant traffic, subtle wind"
  • "score builds gradually, tension rising with the camera push"
  • "crisp footsteps on gravel, no music, environmental sound only"
  • "use @Audio1 as the soundtrack, sync the edit cuts to its rhythm"

4. Use Case Scenarios & Prompt Examples

Scenario 1: Cinematic Short — Single Character Scene

Goal: A character-driven narrative moment with strong emotional impact.

Prompt Template:

[Character description] is [action] in [environment]. The camera [camera movement], capturing [emotional detail]. [Lighting setup]. [Audio direction]. [Duration].

Example (Homecoming):

A tired office worker in a rumpled suit drags his briefcase through the front door of a dimly lit apartment. The camera slowly dolly-pushes toward his face as he hears his daughter's laughter from the next room — his expression shifts from exhaustion to warmth. Warm practical lamp light, deep shadows in the hallway. Ambient sound: creaking door, distant children's laughter. 8 seconds.


Scenario 2: Beat-Synced Brand Video — Multi-Image Montage

Goal: Cut a series of product or lifestyle images to a music track rhythm.

Prompt Template:

Cut @Image1 through @Image[N] in sequence, timed to the keyframe positions and rhythm of @Audio1. Each image holds for [X] beats. [Transition style]. [Overall visual mood].

Example (Fashion Drop):

Cut @Image1 through @Image7 in sequence, timed to the drum hits and rhythm of @Audio1. Each image holds for 2 beats then cuts sharp. Flash cuts between garments, high contrast, bold direct lighting. Ending freeze on @Image7 for 1 second. 10 seconds.


Scenario 3: Character Consistency — Multi-Shot Narrative

Goal: Maintain a consistent character across multiple scenes using image references.

Prompt Template:

Character @Image1 [scene 1 action]. Then [scene 2 action]. Finally [scene 3 action]. Consistent character appearance throughout. [Camera style]. [Tone].

Example:

Character @Image1 wakes up and stretches in a sunlit bedroom. Then walks into the kitchen and pours coffee, glancing out the window at a rainy street. Finally sits at a wooden desk and opens a laptop, a small smile on her face. Continuous warm morning light throughout. Handheld naturalistic camera. Intimate, quiet tone. 12 seconds.


Scenario 4: Camera Work Replication

Goal: Apply complex camera choreography from a reference video to a new scene.

Prompt Template:

New scene: [describe subject and environment]. Camera movement references @Video1 — replicate its [specific technique]. [Lighting]. [Audio].

Example (Hitchcock Zoom):

A woman stands at the end of a long, narrow library corridor. Replicate @Video1's Hitchcock zoom technique as she turns to face the camera — the background rapidly recedes while she stays in sharp focus. Cold fluorescent lighting, slight green cast. Eerie ambient hum. 6 seconds.


Scenario 5: Video Extension — Continuous Scene Development

Goal: Extend an existing clip into a longer continuous sequence.

Prompt Template:

Extend @Video1 by [X] seconds. Continue from where the clip ends: [describe next action/event]. Maintain consistent [lighting / character / environment]. [New audio direction if needed].

Example:

Extend @Video1 by 10 seconds. Continue from where the runner exits the corridor — she bursts through a rooftop door into open air, skids to a stop at the edge, and looks out over the city at sunset. Consistent handheld energy. Cut from indoor fluorescent to warm golden sunset lighting. Swelling orchestral score continues from @Audio1. 10 seconds.


Scenario 6: Video Editing — Character or Action Swap

Goal: Modify a specific element in an existing video clip while keeping everything else intact.

Prompt Template:

Edit @Video1: replace [original element] with [new element from @Image1 or description]. Keep [everything else] unchanged.

Example:

Edit @Video1: replace the man walking across the bridge with @Image1 (a woman in a red coat). Keep the bridge environment, lighting, rain, and camera movement completely unchanged. Match her walking pace and stride to the original. 7 seconds.


5. Multi-Turn Editing Guidelines

Seedance2 supports iterative refinement. Use these patterns for multi-turn conversations:

  1. Isolating changes:

    • Vague: "Make it more cinematic"
    • Precise: "Keep the subject and environment exactly as generated. Add a slow dolly push toward the subject's face and shift the lighting to a warmer golden tone."
  2. Adjusting pacing:

    • Vague: "Slower"
    • Precise: "Reduce the overall motion speed by roughly half. The camera movement should ease in rather than start at full speed."
  3. Audio adjustments:

    • Vague: "Better music"
    • Precise: "Replace the current background score with @Audio2. Keep all environmental sound effects — only swap the music layer."
  4. Extending selectively:

    • Vague: "Make it longer"
    • Precise: "Extend @Video1 by 6 seconds. After the door closes, hold on the empty hallway for 2 seconds, then slowly push toward the window as light fades."
  5. Preserving consistency:

    • Always mention which elements must stay identical: "Keep the character's appearance, the room's lighting, and the camera angle identical to @Video1. Only change the season visible through the window from summer to winter."
安全使用建议
Install only if you want prompt-writing guidance for Seedance2. As with any video-generation workflow, review uploaded images, video, and audio for rights, likeness permissions, and sensitive content before using them.
能力标签
crypto
能力评估
Purpose & Capability
The artifact is coherent with its stated purpose: it provides prompt templates, camera language, audio guidance, and asset-reference syntax for video generation. The metadata capability tag of "crypto" appears mismatched, but the skill content does not provide crypto functionality or risky authority.
Instruction Scope
Instructions are limited to composing video-generation prompts and using uploaded media references such as @Image, @Video, and @Audio. No hidden role changes, prompt overrides, command execution, credential use, or unrelated data access were found.
Install Mechanism
The package contains only a single Markdown SKILL.md file, with no executable scripts, dependencies, or install-time commands.
Credentials
The skill does not ask the agent to inspect the local environment, make network calls, install packages, index files, or mutate user data. Uploaded media references are expected for the video-generation purpose.
Persistence & Privilege
No persistence, background workers, privilege escalation, credential/session handling, or long-running behavior is present.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install seedance-2-prompt-en
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /seedance-2-prompt-en 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.2
Rename Seedance 2.0 to Seedance2
元数据
Slug seedance-2-prompt-en
版本 1.0.2
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Seedance2 Prompt Engineering 是什么?

Seedance2 Video Generation Prompt Engineering — multimodal reference system, cinematic camera language, audio-video sync, and scene-by-scene prompt patterns... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 19 次。

如何安装 Seedance2 Prompt Engineering?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install seedance-2-prompt-en」即可一键安装,无需额外配置。

Seedance2 Prompt Engineering 是免费的吗?

是的,Seedance2 Prompt Engineering 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Seedance2 Prompt Engineering 支持哪些平台?

Seedance2 Prompt Engineering 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Seedance2 Prompt Engineering?

由 zhongkedy-del(@zhongkedy-del)开发并维护,当前版本 v1.0.2。

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