Seedance 2.0: Multimodal AI Video Generation
Create professional AI-generated videos with multimodal inputs — combine up to 9 images, 3 videos, 3 audio files, and text prompts in a single generation with 2K resolution and native audio synchronization.
Seedance 2.0 AI Video Generator
Sample video generated by Seedream 5.0 AI
What Sets This Model Apart?
A unified multimodal audio-video joint-generation model built on advanced diffusion transformer architecture.
Unified Multimodal Audio-Video Joint Generation
Process up to 12 files across four modalities at once using the innovative @-reference syntax for precise control.
Reference-Based Generation vs Text-Only Models
Show the AI exactly what you want using @Image, @Video, and @Audio mentions for character and motion accuracy.
Key Features of This AI Video Model
Multimodal input processing, precise reference control, native audio sync, and multi-shot story generation.
Multi-Modal Input Support
Combine up to 9 images, 3 videos, 3 audio files, and detailed text prompts in a single video generation request.
Reference Anything with @-Mention Syntax
Use @Image1 for character appearance, @Video1 for camera motion, and @Audio1 for rhythm synchronization.
Superior Character Consistency
Maintain facial features, clothing details, and proportions across all frames without morphing or drift artifacts.
Precise Motion and Camera Replication
Replicate complex choreography, cinematic camera movements, and specific shooting angles from reference clips.
Video Extension and Editing
Extend existing videos without regenerating from scratch, merge clips, and edit specific segments iteratively.
Built-In Audio Generation
Generate context-aware sound effects and background music that sync naturally with the video output content.
Use Cases and Applications
From social media content creation to Hollywood pre-production, powering diverse professional video workflows.
Social Media Content Creation
Generate consistent short-form videos for TikTok, Instagram Reels, and YouTube Shorts with character and brand consistency across posts. Produce variations for A/B testing and campaign optimization without reshooting — cutting production time from days to hours.
Marketing and E-commerce Video Production
Produce product demonstration videos with brand-consistent visuals. Upload reference images to preserve logos, packaging, and color grading across all marketing materials — letting e-commerce teams scale video production without dedicated video crews.
Film and Pre-Production Previsualization
Test camera angles, visual effects, and lighting setups before live-action shoots. Create pitch-ready cinematic sequences from storyboard sketches — helping directors communicate their vision to stakeholders and production crews effectively.
Creative and Artistic Video Projects
Combine multiple media formats — images, reference videos, audio tracks — for experimental visual art and music videos. The @-reference syntax provides high-level director control over artistic video projects and avant-garde visual storytelling.
How to Use This Model: Step by Step
Get started in three simple steps — describe, configure, and generate.
Enter Your Prompt
Describe the video you want in text. You can also upload images or videos as references.
Choose Settings
Set video duration, aspect ratio, and output quality.
Generate and Download
Click generate, wait a moment, and download your HD video.
How This Model Compares to Alternatives
A comparison of key capabilities, input support, and output quality across leading AI video generation models.
Seedance 2.0 vs Kling 3.0
Kling 3.0 excels at natural motion with affordable pricing, but this model offers broader multimodal input support with image, video, and audio references. Output reaches 2K resolution compared to Kling's 1080p, and native audio reference capabilities give creators more control over soundtrack synchronization.
Seedance 2.0 vs Sora 2
Sora 2 focuses on physics simulation and realistic physical interactions with up to 20-second clips. This model differentiates with its @-reference system for precise creative control, native audio synchronization, and character-consistent multi-shot workflows — better suited for reference-heavy production work.
Seedance 2.0 vs Veo 3.1
Veo 3.1 targets 4K broadcast-ready cinematic quality, while this model focuses on multimodal creative control at 2K. The unique advantage lies in accepting video and audio references alongside text and images — a combination other models do not currently offer.
Performance Benchmarks
Evaluated against multi-dimensional benchmarks, the model achieves leading scores in text-to-video generation, image-to-video tasks, and multimodal reference-based generation. Character consistency and motion replication metrics consistently outperform competitors in reference-heavy evaluation scenarios.
Frequently Asked Questions
Everything you need to know about this multimodal AI video generation model — inputs, output, access, and capabilities.
Seedance 2.0 is a next-generation multimodal AI video generation model built on diffusion transformer architecture. It accepts text, images (up to 9), videos (up to 3), and audio files (up to 3) as inputs simultaneously, generating 2K resolution videos with native audio synchronization and precise reference control. It is designed for creators, filmmakers, and marketing teams who need professional video output without manual post-production or specialized editing software.
The @-reference syntax lets you assign specific roles to uploaded assets. For example: '@Image1 as character appearance, @Video1 for camera motion, @Audio1 for rhythm.' This tells the model exactly how to use each reference in your generation, giving you director-level control over character, motion, and audio elements within a single prompt.
The model generates videos at up to 2K resolution with durations from 4 to 15 seconds. Supported aspect ratios include 16:9, 4:3, 1:1, 3:4, and 9:16 — covering everything from widescreen cinema to vertical social media formats. Audio synchronization works across all aspect ratios and durations, and output is delivered as downloadable MP4 files ready for editing or direct publishing.
Yes. One of the key improvements is superior character locking — maintaining facial features, clothing details, and physical proportions across all frames and scenes. This resolves the common AI video problem of inconsistent character appearance between shots, making it practical for multi-scene narratives and brand-consistent content.
Yes. Built-in audio generation creates context-aware sound effects and background music synchronized with the video content. You can also upload reference audio to match specific beats, rhythm patterns, and musical dynamics — a capability unique among leading AI video models that enables music video and commercial production.
The model is available through this platform and through third-party services including Dzine.ai, WaveSpeedAI, and ImagineArt. Choose AI Video from the dashboard and select the model as your generation engine. Free credits are provided to new users so you can explore all capabilities — multimodal input, @-reference control, and audio synchronization — before committing to a paid plan.
This model stands out with its multimodal input support (text + image + video + audio), unique @-reference control system, and native audio synchronization. While Sora 2 excels at physics simulation and Veo 3.1 at 4K cinematic quality, this model is best for reference-heavy creative work requiring precise control over multiple input assets.
Yes. The model precisely replicates camera movements, shooting angles, and complex choreography from reference video clips. Upload a reference video and use @Video1 in your prompt to specify camera motion replication. This is especially useful for re-creating cinematic sequences, matching existing brand footage, and testing shot compositions.
Yes. The model supports video extension without regenerating the entire content, merging clips with natural transitions, and editing specific segments — enabling iterative refinement workflows. This makes it practical for professional editing pipelines where you need to adjust, extend, or combine generated footage with existing material.
The platform implements content accountability measures and safety guidelines to address concerns around deepfakes and misuse. Generated media follows responsible AI practices aligned with industry standards, including automated content filtering, watermarking, and usage policies designed to prevent harmful applications while supporting legitimate creative and commercial work.
Start Creating Multimodal AI Videos Today
Combine text, images, video, and audio to generate professional-quality cinematic clips — free credits for new users.