Seedance 2.0 Blog

How to Turn Comics into Animations with Seedance 2.0 via CometAPI
Apr 28, 2026
Seedance 2.0

How to Turn Comics into Animations with Seedance 2.0 via CometAPI

Learn how to turn comics into AI videos with Seedance 2.0 via CometAPI. Animate manga panels, create webtoon videos with multi-shot consistency and audio sync.
What is HappyHorse-1.0? How to Compare Seedance 2.0?
Apr 20, 2026
Seedance 2.0

What is HappyHorse-1.0? How to Compare Seedance 2.0?

Learn what HappyHorse-1.0 is, why it hit the top of the Artificial Analysis video leaderboard, how it compares with Seedance 2.0, and what the latest rankings mean for AI video generation.
What is Seedance 2.0? A Comprehensive Analysis
Apr 20, 2026
Seedance 2.0

What is Seedance 2.0? A Comprehensive Analysis

Seedance 2.0 is a next-generation multimodal AI video generation model developed by ByteDance that can generate high-quality, cinematic videos from text, images, audio, and reference videos. It features audio-video joint generation, motion stability, and reference-based editing, and has rapidly climbed global benchmarks like the Artificial Analysis leaderboard, positioning itself among the top AI video models in 2026.
How to make the videos by Seedance 2.0 professionally?
Mar 19, 2026
Seedance 2.0

How to make the videos by Seedance 2.0 professionally?

Seedance 2.0 represents a major jump in text-and-reference driven video generation: native audio/video joint generation, robust multimodal references (images, video, audio), and modes for both creative generation and targeted video-to-video editing. With the right prompts, references, and post-production pipeline you can produce footage that approaches director-level polish — but doing that consistently requires method, tooling, and awareness of legal/ethical limits.
Mar 19, 2026
Seedance 2.0

Seedance 2 Review: How It's Changing AI Video (2026)

ByteDance has publicly rolled out Seedance 2.0 — a major update to its AI video-generation stack that promises tighter audio-visual integration, richer multimodal inputs (text, images, short clips), stronger character and scene consistency, and a set of controls aimed at production workflows— features that push AI video generation from experimental demos toward practical production tools.