What

Seedance 2.0 is an AI‑driven video generator that converts text, images, or existing footage into short cinematic clips. It is aimed at marketing, film pre‑visualization, e‑commerce, and education teams that need rapid, export‑ready video drafts with consistent subjects and synchronized audio.

Features

Multi‑modal input (text, image, video) – allows creators to start from any media type and combine references for tighter creative direction.
Reference‑aware visual control – anchors style, composition, and subject identity across shots, improving continuity in multi‑shot sequences.
Joint audio‑video synthesis with multilingual lip‑sync – generates synchronized sound and on‑screen speech in a single pass for up to 10+ languages.
Resolution up to 4K and flexible aspect ratios – supports landscape, portrait, square, or custom ratios for different platform requirements.
API access with task tracking and signed webhooks – enables integration of video generation into custom applications and automated workflows.

Helpful Tips

Begin with a clear generation mode (text‑to‑video, image‑to‑video, or video‑to‑video) and add reference media to improve subject stability.
Use the prompt to specify camera motion and pacing; the system interprets these cues for director‑level motion control.
Monitor credit consumption per clip (credits vary by duration and resolution) and plan batch generation to stay within subscription limits.
Test API calls in a sandbox environment before deploying to production to verify webhook handling and error reporting.

OpenClaw Skills

Within the OpenClaw ecosystem, Seedance 2.0 could be accessed by a Video Generation Agent that accepts textual briefs, retrieves reference assets from a knowledge base, and submits API requests to produce draft clips. A Workflow Orchestrator might chain this agent with downstream tasks such as automated thumbnail creation, metadata tagging, or distribution to social‑media publishing bots. Such integration would streamline content pipelines for marketers and creators, reducing manual editing time and enabling rapid iteration of video concepts. (These are likely use cases based on Seedance 2.0’s documented API and control features.)