A curated collection of Seedance 2.0 prompts, examples, and best practices for AI video generation.
Seedance 2.0 is ByteDance's revolutionary multimodal AI video generator that creates cinematic, multi-shot videos with native audio-visual synchronization, phoneme-level lip-sync in 8+ languages, and consistent character rendering.
Key Features:
- Native 2K resolution (2048×1080)
- Multimodal input: Images, Videos, Audio, Text
- Up to 12 reference files per generation
- Phoneme-level lip-sync in 8+ languages
- 99.5% generation success rate
- Prompt Structure Basics
- 1. Photorealism & Cinematic
- 2. Character & IP Consistency
- 3. Product & Commercial
- 4. Social Media & Viral Content
- 5. Style & VFX Transfer
- 6. Multi-Shot Storytelling
- 7. Audio & Lip-Sync
- 8. Camera Techniques
- Advanced Techniques
- Resources
- Contributing
Prompt = [Subject] + [Motion] + [Scene] + [Camera] + [Style]
Prompt = Subject + Motion, Background + Motion, Camera + Motion
[Subject]: Who or what (singular preferred)
[Motion]: What they're doing (plain language, specific speed)
[Scene]: Where it happens
[Camera]: Shot type + movement + lens feel
[Style]: Visual aesthetic, lighting
| Do ✅ | Don't ❌ |
|---|---|
| Use specific motion words: "sprinting quickly" | Vague descriptions: "moving dynamically" |
| Single subject per scene | Multiple conflicting subjects |
| 30-100 words optimal length | Too short (<20) or too long (>150) |
| Structured camera instructions | Abstract mood words as camera directions |
| Sequence compound movements | Jam all movements into one clause |
A professional woman in her 30s, wearing a tailored navy blazer, sitting in a
modern office. She looks directly at camera with a confident smile. Soft natural
light from a large window. Slow dolly-in focusing on her face.
Camera: Medium close-up, 85mm lens feel, slow dolly-in over 4 seconds
Style: Corporate headshot, warm professional lighting, shallow depth of field
A mysterious figure emerges from shadows into golden hour light. Long black coat
billowing slightly. They pause, turn to face camera with intense eyes.
Camera: Start wide shot, then slow dolly-in to close-up
Style: Cinematic, high contrast, film noir meets modern thriller
Lighting: Dramatic rim light, golden hour warmth on face
An athlete in a professional tracksuit. Legs alternate rapidly, arms swing
powerfully, sprinting with all his strength on the field. After crossing the
finish line, the audience erupts in cheers.
Camera: Tracking shot following the runner, 24fps cinematic
Style: Sports documentary, high dynamic range
A rainy Tokyo street at night. Neon signs reflect on wet pavement. A lone
figure with an umbrella walks slowly through the frame. Steam rises from
street food stalls.
Camera: Wide establishing shot, slight handheld movement
Style: Neo-noir, high contrast neon, Blade Runner aesthetic
Animate a superhero performing a signature move across different city rooftops
while keeping costume, hairstyle, and facial features consistent. Reference
@Image1 for character design.
Camera: Dynamic tracking, multiple angles
Character lock: Maintain exact costume colors, facial features, body proportions
Show a brand mascot interacting with multiple environments, such as a park,
office, and home, without changing its color palette or expressions. Reference
@Image1 for mascot design.
Camera switch: Park → Office → Home, smooth transitions between scenes
Consistency: Maintain exact color palette #FF5733, expression style, movement characteristics
Reference @Image1 for the character's face. Apply camera movement from @Video1.
Match the pacing to @Audio1. Modern office setting, professional lighting.
The character speaks naturally with realistic lip movements. [Dialogue: "Welcome
to our new product launch. Let me show you something amazing."]
Camera: Medium shot, slight push-in during key dialogue moments
Show a product unboxing with close-up shots, animated text highlighting
features, and smooth panning to focus on brand logos. Premium product on
white background.
Camera: Start top-down, transition to 45-degree angle, end with close-up on logo
Style: Clean, minimalist, Apple-style product photography
Lighting: Soft studio lighting, subtle reflections
Create a lifestyle ad showing people using the product in different daily
scenarios, keeping brand colors and logo visible. Morning coffee, afternoon
work, evening relaxation.
Camera: Handheld documentary style, natural movements
Style: Warm, authentic, lifestyle brand aesthetic
Duration: 15 seconds, 3 distinct scenes
A steaming cup of premium coffee on a rustic wooden table. Cream pours slowly
into the dark coffee, creating beautiful swirling patterns. Morning light
streams through window.
Camera: Macro close-up, slow motion pour at 120fps feel
Style: Warm, cozy, coffee commercial aesthetic
Audio: Gentle pouring sound, ambient morning atmosphere
A sleek smartphone rotates on a reflective surface. The screen lights up
showing app interface. Holographic UI elements appear around the device.
Camera: 360-degree orbit around product, slow and smooth
Style: Futuristic, premium tech, dark background with accent lighting
VFX: Subtle particle effects, holographic overlays
Create a fast-paced video of a cat knocking over objects with exaggerated
reactions, meme-style captions, and quick zooms for comedic effect.
Camera: Quick cuts, sudden zoom-ins on reactions
Style: Meme aesthetic, bold text overlays, exaggerated motion
Pacing: Fast-paced, comedic timing, 5-second intervals
Tip: Replace "fast-paced" with "smooth pacing" if output feels chaotic
Show a morning routine of a college student with upbeat background music,
jump cuts between scenes, and text overlays highlighting key moments.
Camera: Jump cuts every 2-3 seconds, mix of angles
Style: TikTok/Instagram aesthetic, bright and energetic
Audio reference: @Audio1 for upbeat rhythm
Split-screen transformation showing fitness journey. Left side shows starting
point, right side shows result. Dramatic reveal at the end.
Camera: Static framing, synchronized movements on both sides
Style: Motivational content, high contrast, inspiring
Transition: Dramatic reveal with light flash effect
This prompt style went viral on Twitter/X in early 2026, with creators generating tear-jerking mini-dramas
Style: High society, true vs. fake heiress trope, extreme plot twists,
haute couture gowns, glamorous domineering sister vibe (豪门恩怨)
Characters:
- True heiress: Flaming red lips, black swan evening gown, commanding presence
- Fake heiress: Innocent white flower look, pitiful tears
Scene 1 (0:00-0:05): Luxurious banquet setting. Fake heiress deliberately
breaks an antique vase and cries pitifully while guests whisper.
[Dialogue: "Sister, I know you hate me for taking your place, but this
was Grandma's heirloom!"]
Scene 2 (0:05-0:10): True heiress smirks coldly, pulls DNA test document,
slaps it across fake's face. Papers scatter dramatically.
[Dialogue: "Had enough acting, you bastard?"]
Scene 3 (0:10-0:15): Guests gasp. True heiress walks to throne, removes
crown from fake, places it on herself.
[Dialogue: "This is my house. Get out."]
Camera: Dramatic slow motion, quick cuts on reactions, face close-ups
Audio: Dramatic music swells, gasps, paper rustling
Source: SuperMaker AI Guide
Viral on Twitter/X - Users generating professional martial arts sequences with casual prompts
武侠风格，一名剑客在竹林中与敌人对峙。
角色：白衣剑客，长发飘逸，手持古剑
场景：月光下的竹林，薄雾缭绕
动作序列：
- 剑客抽剑，剑光一闪
- 快速移动，身影如鬼魅
- 剑招凌厉，竹叶纷飞
- 定格pose，衣袂飘飘
Camera: 360度环绕镜头，慢动作特写
Style: 古装武侠，电影质感
Audio: 剑鸣声，竹叶沙沙，BGM配乐
Duration: 15 seconds
Source: PetaPixel Report
Another viral Twitter/X trend - Corporate revenge fantasy micro-dramas
Style: Modern corporate, revenge fantasy, power dynamics, designer suits
Setup: Open-plan luxury office, floor-to-ceiling windows, city skyline
Scene 1: Humble employee receives dismissal letter, colleagues smirk
[Dialogue: "You're fired. Security will escort you out."]
Scene 2: 6 months later. Same employee returns in designer suit,
buys the company. Former boss's face turns pale.
[Dialogue: "I believe you're sitting in MY chair."]
Scene 3: Employee sits in CEO chair, spins around dramatically.
Former colleagues bow. Smirk.
[Dialogue: "Meeting in 5 minutes. Don't be late."]
Camera: Power shots from below, dramatic reveals, reaction close-ups
Lighting: Golden hour through windows, dramatic shadows
Duration: 15 seconds
Transform a daytime city street into a neon-illuminated cyberpunk environment
with rain reflections, animated signs, and moving vehicles. Reference @Video1
for original footage.
Style transfer: Day → Night, natural → cyberpunk neon
VFX: Add rain, reflections, animated holographic signs
Color grade: High contrast, teal and orange, neon accents
Convert a forest animation into a magical fantasy scene with glowing plants,
floating lights, and mystical fog effects. Reference @Image1 for style.
VFX: Bioluminescent plants, floating particles, ethereal fog
Style: Studio Ghibli meets Avatar, magical realism
Lighting: Soft volumetric rays, fairy light particles
Transform realistic footage into anime style while maintaining motion and
composition. Reference @Video1 for source, @Image1 for anime style guide.
Style: Anime cell-shading, bold outlines, stylized expressions
Maintain: Original motion, camera work, scene composition
Color: Vibrant anime palette, clean gradients
Apply vintage 1960s film aesthetic to modern footage. Add film grain, color
shift, light leaks, and period-appropriate color grading.
Style: Vintage Kodachrome, nostalgic warmth
VFX: Film grain, subtle light leaks, vignette
Color: Faded highlights, warm shadows, reduced saturation
Storyboard a chase scene in a busy city with multiple camera angles, dynamic
character movements, and realistic environmental interactions.
Shot 1: Wide establishing - city street, target spotted
Camera switch →
Shot 2: Close-up pursuer's determined face, starts running
Camera switch →
Shot 3: POV shot weaving through crowd
Camera switch →
Shot 4: Aerial drone view of the chase
Maintain: Character consistency, spatial continuity, escalating tension
Tell a product story in 3 acts:
Act 1 (Problem): Person struggling with traditional solution, frustrated expression
Camera switch →
Act 2 (Solution): Product introduction, amazed reaction, demonstration
Camera switch →
Act 3 (Result): Happy user, lifestyle improvement, call to action
Character lock: Same person throughout, consistent wardrobe
Duration: 30 seconds total, 10 seconds per act
A touching reunion scene between parent and child at airport:
Shot 1: Child waiting anxiously, checking time, wide shot of arrivals
Camera switch →
Shot 2: Parent appears in doorway, freeze moment of recognition
Camera switch →
Shot 3: Slow motion run towards each other
Camera switch →
Shot 4: Embrace, close-up on emotional faces
Audio: Swelling emotional music, synchronized with visual beats
Lip-sync: [Dialogue: "I missed you so much"]
Business meeting with multilingual conversation:
Character 1 speaks: [English: "Let me present our quarterly results."]
Character 2 responds: [Mandarin: "数据看起来很不错。"]
Character 3 adds: [Japanese: "はい、素晴らしい成長ですね。"]
Reference @Audio1 for timing and rhythm
Lip-sync: Phoneme-level accuracy for each language
Scene: Modern conference room, professional lighting
Create a smooth video using @Image1 as the main reference. Add natural head,
eye, and ear movements. Sync expressions with the playful music rhythm.
Reference @Audio1 for BGM timing
Movement: Hit the beat with subtle body movements
Expression: Match emotional tone of music
Camera: Dynamic but synchronized with music beats
A glass falls from table in slow motion. Impact with floor, shattering into
pieces. Dual-branch audio generation for realistic sound.
Audio:
- Build-up: Tense silence as glass tips
- Impact: Crisp shatter sound perfectly synced
- Aftermath: Tinkling of settling pieces
Camera: High-speed slow motion, focus pull from glass to shards
Product showcase with professional voice-over:
[Voice-over English: "Introducing the next generation of innovation."]
Visual: Product reveal with dramatic lighting
Audio: Voice-over synced with visual reveals
Timing: Key features appear as mentioned in voice-over
Background: Subtle ambient music @Audio1
Slow dolly-in on character's face capturing emotional reaction. Start medium
shot, end close-up over 4 seconds. Draw audience into the moment.
Camera: Slow dolly-in, 1-2 feet movement
Speed: Gradual acceleration towards end
Lens feel: 50mm natural perspective
Start: Slow dolly-in establishing the scene
Then: Gentle pan right for the final 2 seconds
Note: Structure compound moves as beats for better control. Seedance
respects the sequence better than jamming both into one clause.
Camera follows runner through urban environment. Parallel tracking maintaining
consistent distance. Subject stays in frame center.
Camera: Side tracking shot, gimbal-smooth movement
Speed: Match subject's running pace
Focus: Shallow depth of field on subject
Start low near ground level, crane up revealing cityscape. Dramatic scale
change from intimate to epic.
Camera: Crane up from ground to aerial view
Duration: 6 seconds
Style: Cinematic establishing shot
Reference @Video1 for crane movement pattern
Authentic documentary feel following subject through daily activities.
Natural camera shake, reactive framing.
Camera: Handheld, organic movement, slight shake
Style: Vérité documentary, authentic moments
Focus: Reactive focus pulls on action
Seedance 2.0's multimodal input system uses @ mentions:
@Image1 - Character face reference
@Image2 - Style/aesthetic reference
@Video1 - Camera movement extraction
@Video2 - Motion/action reference
@Audio1 - Music/rhythm sync
@Audio2 - Sound effect reference
Example:
Reference @Image1 for character style. Apply camera movement from @Video1.
Match the pacing to @Audio1. The character walks through a sunset beach scene.
| Type | Limit |
|---|---|
| Images | Up to 9 |
| Videos | Up to 3 (total ≤15 seconds) |
| Audio | Up to 3 (MP3, total ≤15 seconds) |
| Total files | Up to 12 combined |
A smooth, natural video transition between first and last frame showing
[subject]. The [character type] gently moves, blinks, and smiles with
soft, realistic facial expressions.
Reference @Image1 as first frame
Reference @Image2 as last frame
Transition: Organic morph maintaining subject identity
Avoid: Blurry, distorted faces, inconsistent clothing, unnatural movements,
flickering elements, multiple conflicting art styles
| Problem | Solution |
|---|---|
| Character identity drifts | Reduce scene variety to one environment per generation |
| Output feels chaotic | Replace "fast-paced" with "smooth pacing" |
| Motion unclear | Specify exact speed: "walked slowly" → "walked at 0.5x speed" |
| Lip-sync off | Use phoneme brackets: [Dialogue: "exact text"] |
| Camera too shaky | Specify "gimbal-smooth" or "stabilized" |
- Keep prompts 30-100 words - Too short lacks detail, too long confuses the model
- Use reference files wisely - @Image for style, @Video for motion, @Audio for rhythm
- Structure compound camera moves - "Start: dolly-in. Then: pan right." works better than "dolly-in while panning right"
- Be specific about speed - "The car drove by quickly" beats "The car drove by"
- One subject per scene - Multiple subjects = inconsistent results
- Dreamina by ByteDance - Official platform
- Jimeng (即梦) - Chinese platform
- CapCut Integration - Video editing with Seedance
- WaveSpeedAI Seedance Guide
- VideoWeb Tutorial
- 18 Powerful Seedance 2.0 Prompts
- SuperMaker AI Complete Guide
- PetaPixel Coverage
- Twitter/X: Search #Seedance2 #Seedance2.0 #即梦AI #JimengAI
- Reddit: r/AIVideoGeneration r/StableDiffusion
- Bilibili: Search "Seedance 2.0 教程" "即梦AI"
- 小红书 (Xiaohongshu): Search "即梦" "AI视频生成"
- Discord: Various AI video generation communities
- Volcano Engine (火山引擎) - Official API
- WaveSpeedAI API - Third-party API
- Higgsfield Integration - Alternative access
Contributions are welcome! Please feel free to submit a Pull Request.
- Fork this repository
- Add your prompts with examples
- Include source attribution if from Twitter/X or other platforms
- Submit a Pull Request
- Include clear, tested prompts
- Add context about use case
- Credit original creators when applicable
- Follow the existing format structure
MIT License - feel free to use and share!
If you find this helpful, please ⭐ star this repo!
Last updated: February 2026
Created with reference to community contributions from Twitter/X, Bilibili, and various AI video generation communities.
