Seedance 2.0: Generate AI Video from Text, Images, Video Clips, and Audio

Seedance 2.0 is a multi-modal AI video generation model built by ByteDance's Jimeng AI team. It accepts up to 9 images, 3 video clips, and 3 audio files alongside a text prompt to generate controllable video between 4 and 15 seconds. Its core strengths are character consistency, camera control replication, VFX template copying, and audio-driven lip-sync. It supports both text to video and image to video workflows in a single generation pass.

Up to 12 mixed assets: a maximum of 9 images, 3 videos (total ≤15s), and 3 audio files in MP3 format (total ≤15s). You can combine types freely and should prioritize assets that define the core visual style or rhythm.

Yes. Upload a reference video and describe the desired motion in your prompt. Seedance 2.0 can replicate dolly shots, truck moves, pans, and complex techniques like the Hitchcock dolly zoom and robotic-arm tracking.

By referencing character images with @Image tags in your prompt. The model locks character identity, clothing, and fine details. This works across emotional shifts, indoor/outdoor transitions, and even historical/modern setting changes.

Yes. Upload audio files or reference video sound to drive character lip movements and scene rhythm. This works for dialogue (including talk-show style exchanges) and music-beat-synced montages.

Seedance 2.0 generates video clips between 4 and 15 seconds. The extension feature allows you to add up to 15 seconds of new content to an existing clip, effectively creating longer sequences through chaining.

Yes. Feed a template video as a reference and swap in your own characters and products. The model replicates transitions, particle effects, camera language, and creative ad formats from the reference.

Select the generation length for the new content (e.g., 5s or 15s). The model generates new frames that seamlessly continue from the last frame of your existing video. You can also edit specific regions of an existing video using in-painting without regenerating the whole clip.

One-take continuity means the model generates a single, unbroken tracking shot — following a subject through multiple environments without cuts. This requires stable environment rendering and consistent character appearance over the full duration.

Use clear @Image / @Video references, describe scene transitions with timestamps (e.g., "0–3s: …, 4–8s: …"), specify camera angles explicitly, and include emotional or performance direction for character scenes. Keep the most critical visual references at the top of your asset list.

Yes. Seedance 2.0 works as a text to video generator on its own. Write a text prompt describing the scene, characters, and camera direction, and the model generates video from text alone. Adding image or audio references is optional but improves control and consistency.

Upload one or more images as @Image references in your prompt. The model uses these images as visual anchors for character appearance, scene setting, or storyboard keyframes, and generates video that stays faithful to those references. This image to video approach gives you far more visual control than text alone.

Seedance 2.0 was developed by ByteDance's Jimeng AI team. Jimeng AI focuses on multi-modal AI video generation models and creative tools for professional and commercial video production.

The main differentiator is multi-modal input. While most AI video generators accept only text or a single image, Seedance 2.0 mixes up to 12 assets — images, video clips, and audio files — in a single generation. This gives you direct control over camera movement, character appearance, VFX style, and audio sync that text-only models cannot match.

Yes. The VFX template replication and character consistency features are built for commercial use. You can feed an existing ad template video and swap in your own product and talent. The model replicates transitions, camera work, and creative style from the template, which speeds up ad iteration without starting from scratch each time.