Within days of its release, ByteDance's Seedance 2.0 took the internet by storm, with videos of Brad Pitt fighting Tom Cruise and Jackie Chan sparring with Jet Li going viral on social media.
These clips are so realistic that Hollywood sent cease-and-desist letters, which speaks volumes about how good this model actually is.
In this article, we’ll cover everything you need to know about Seismic 2.0, including what it is, what makes it special and how to access it to start creating AI videos that will make the powers that be in Hollywood want to shut you down. Let's get started.
Seedance 2.0 is a video model developed by the Seed research team — the same people who created TikTok's recommendation algorithms. Here’s a quick rundown of it’s main characteristics:
2K resolution
Native audio
Multi-shot storytelling
Up to 12 references
The model was first launched in CapCut for Chinese users, with global availability rolling out through platforms such as Overchat AI until mid-February 2026.
ByteDance originally planned to release Seedance 2.0 in late 2025, but delayed the launch to allow for further optimisation. The extra polish is evident — the difference between Seedance 1.5 Pro and 2.0 is immediately obvious.
See this video of Brett Pitt fighting Tom Cruise on a bridge:
This was a 2 line prompt in seedance 2. If the hollywood is cooked guys are right maybe the hollywood is cooked guys are cooked too idk. pic.twitter.com/dNTyLUIwAV
But let’s break down Seedance 2.0 features in more detail to understand what actually makes this model so amazing:
Feature
Specification
Max Resolution
2K
Max Duration
4–15 seconds
Generation Speed
~60 seconds for 2K
Aspect Ratios
16:9, 9:16, 4:3, 3:4, 21:9, 1:1
Multimodal Input
Up to 12 reference files
Native Audio
Yes
Lip Sync
Phoneme-level, 8+ languages
Multi-shot storytelling.This is the headline feature. We first saw it introduced in Wan 2.6, then further refined in Kling 3. However, you could argue that Seedance 2.0 realises the creators' vision for the first time. So, what is it? Essentially, with a single prompt, the model can generate multiple coherent shots featuring the same characters, incorporating cuts and altering camera angles. If you think about any Sora 2 video, for example, you will see that it always outputs one continuous shot without any changes to the camera angle. Any shots with cuts are usually edited in post-production. With this model, however, you don't have to do that.
Up to 12 reference images. You can add up to 12 files as references in the same generation, mixing different media types to add props, characters or the general mood and style you want to a scene.
In-video editing. What is in-video editing? If you’ve ever used Nano Banana Pro, you’ll know that after taking the first photo, you can use follow-up prompts to make changes to it, refining it until you get the result you want — without having to reload the photo. This is the same kind of workflow, but for video.
Seedance 2.0 vs Other AI Video Generators
But how does this compare to the other best AI video generators, particularly given that Kling 3 — another revolutionary model — was recently released? The table below shows how they compare on paper:
Feature
Seedance 2.0
Kling 3
Sora 2
Max Resolution
2K
4K
1080p (4K via API)
Max Duration
15 seconds
15 seconds
25 seconds
Native Audio
Yes
Yes
Yes
Multi-shot Storytelling
Yes
Yes
No
Multimodal Input
Up to 12 files
Up to 10 images
Limited
Motion Control
Via reference video
Motion brush + reference
Storyboard mode
Lip Sync Languages
8+
5
English
Seedance 2.0 vs Kling 3
Against Kling 3: multi-shot consistency and dynamism of the images gives Seedance the edge. However, Kling's motion control system — especially the motion brush and reference video workflow — is still better at copying specific movements. If you want to create TikTok dances or need to copy movement exactly, Kling is still the best.
Seedance 2.0 vs Sora 2
Against Sora 2: Seedance wins on resolution (2K vs 1080p at consumer pricing), audio reliability, and global availability. Sora 2 generates longer clips — up to 25 seconds versus Seedance's 15.
The verdict
Seedance 2.0 offers the best combination of resolution, native audio, and multi-shot consistency at the most accessible price point. Kling 2.6 wins on motion control precision. Sora 2 wins on clip duration and editing features, but loses on price, availability, and audio reliability.
Frequently Asked Questions (FAQ)
What is Seedance 2.0?
Seedance 2.0 is an AI video generator developed by ByteDance, released February 7, 2026. It generates synchronized audio and video at up to 2K resolution, supports multi-shot storytelling with consistent characters, and accepts up to 12 reference files as input. The model runs on a Dual-Branch Diffusion Transformer that handles dialogue, sound effects, and ambient audio in one pass.
Is Seedance 2.0 the best AI video generator?
For most use cases, yes. Seedance 2.0 combines the highest consumer-accessible resolution, reliable native audio, and multi-shot storytelling that competitors lack. Kling 2.6 is better for precise motion control. Sora 2 generates longer clips but costs significantly more and has less reliable audio.
Conclusion
Seedance 2.0 raises the bar for AI video generation. The combination of 2K resolution, multi-shot consistency, and 12-file multimodal input didn't exist before this model launched.
Key takeaways:
Seedance 2.0 is ByteDance's latest AI video model, released February 7, 2026
It outputs at 2K resolution — higher than Kling 2.6 (1080p) and consumer Sora 2 (1080p)
Multi-shot storytelling maintains character and style consistency across scenes automatically
The model accepts up to 12 reference files: images, videos, and audio combined
Native audio includes phoneme-level lip sync in 8+ languages
Estimated API pricing is $0.10-$0.80/minute, significantly cheaper than Sora 2
Access through Overchat AI, Dreamina, or third-party APIs
If you need the most capable AI video generator available right now, Seedance 2.0 is the answer. The Hollywood cease and desist letters prove the point better than any benchmark could.
