Seedance 2.0
Neural Network
Seedance 2.0 is a video generation model by ByteDance for clips from text, images, and reference sets
Max answer length
(in tokens)
Context size
(in tokens)
Video generation
(duration 8 sec., 720p)
Video generation
(duration 8 sec., 1080p)
How it works Seedance 2.0?
Seedance 2.0 is a video model by ByteDance: it creates clips from text, images with start/end frame control, or reference sets. The multimodal mode allows using source materials to get a scene where the character maintains appearance across frames. In BotHub, the model is available from Russia without a VPN or foreign card: balance is topped up with a Russian card, payment is per generation, and unused funds do not expire. Over 250 neural networks are available in the same window, so you can write scripts and storyboards in a text model and create videos in Seedance 2.0. For teams, there is a unified API and corporate terms: contract, invoice, admin panel with limits. Useful for creating ad teasers, animating static frames and illustrations, preparing short videos with a recurring character, assembling pre-visualization before shooting, or testing visual options before production.Frequently asked questions about Seedance 2.0
You can use generated results for commercial purposes. You own all rights to the content you create. The only restriction: make sure your prompt does not include copyrighted third-party material. You are responsible for respecting the rights to any input data.
Seedance 2.0 is a ByteDance video model: it creates videos from text, animates uploaded images, and processes existing clips. Suitable for ad inserts, short clips, concept animation, and social media visuals. Available from Russia without a VPN or foreign card.
The result is a video sequence assembled according to your task: text, source frame, or an existing clip. Specific resolution and duration are not fixed in our data, so refer to the parameters visible in the BotHub interface when starting generation.
A separate reasoning mode before answering is not noted in our data. The model works differently: it parses your scene description and translates it into camera movement, object actions, and frame changes. The more precise and detailed the task, the more predictable the result.
Function calling and structured JSON output are not noted in our data — this is not a primary scenario for a video model. You can integrate generation into your product via the unified OpenAI-compatible BotHub API: one key, and the model can be changed without rewriting the integration.
Yes: besides text, the model accepts images and video. A static frame becomes an animation with the desired movement, and an existing clip can be processed to change style or dynamics. Audio input is not noted in our data.
We have no data on the model's performance with different languages, so we cannot make any claims. However, the BotHub interface is in Russian, and payment is accepted via Russian cards in rubles without a VPN. Describe the scene specifically: shot, lighting, camera movement — this affects the result the most.