Seedance 2.5 API | Multimodal AI Video Generation | Kinovi

What

Seedance 2.5 is ByteDance’s AI video model for generating videos up to 30 seconds, using image and video references plus prompt-based scene control. It appears aimed at creative teams, marketers, and video makers who need short-form video generation or localized edits with more structured visual direction. Based on the page, it is positioned as a multimodal video model available through Kinovi Studio and API workflows.

Features

• Up to 30-second video generation: Supports short-form AI video creation for cinematic concepts, branded sequences, and scene-based storytelling within a defined duration limit.
• Multimodal references: Accepts image and video references, which helps users anchor style, composition, subject appearance, or scene continuity more precisely.
• Precise local editing: The page states local editing support, suggesting users can modify targeted parts of a video rather than regenerate the whole scene.
• Prompt-driven scene control: Example prompts show detailed control over camera motion, physics, lighting, transitions, sound cues, and continuity constraints.
• Resolution and pricing options: Offers 480P and 720P generation with different credit rates for video-reference and no-reference workflows, which is useful for planning output quality against cost.

Helpful Tips

• Test complex prompts in stages: The examples are highly detailed, so it is practical to validate subject consistency, camera behavior, and transitions with shorter drafts before committing to longer outputs.
• Use references when continuity matters: If composition, character identity, or source footage preservation is important, reference-based generation is likely the safer setup, though it costs differently from no-reference output.
• Confirm editing scope early: The page mentions precise local editing but does not define boundaries or tooling details, so teams should verify what can actually be isolated and revised in production use.
• Budget for duration-based usage: Pricing is tied to seconds and differs by resolution and reference mode, so estimating total input and output duration matters for cost control.

OpenClaw Skills

A likely OpenClaw use case is an AI video prompt engineering and production workflow around Seedance 2.5: agents could turn briefs into structured prompts, manage reference assets, generate variant shots, and enforce brand or scene consistency across outputs. If connected through API-based orchestration rather than a confirmed native integration, OpenClaw could plausibly support creative ops teams with campaign versioning, storyboard-to-prompt conversion, approval routing, and asset tracking. For marketing and media teams, that combination could reduce manual prompt iteration and make short-form video generation more repeatable across projects.