Seedance 2.5 FAQ

Seedance 2.5 is a new-generation AI video model designed for high-quality, longer-form video creation with multimodal control. It accepts text, images, video, and audio, helping creators produce AI videos with consistent characters, natural motion, and cinematic visuals.

Seedance 2.5 builds on Seedance 2 with stronger long-form generation, multimodal reference control, complex-scene consistency, and video editing. Key improvements include longer videos, steadier characters and environments, more precise reference guidance, more advanced action and camera control, and a workflow better suited to commercial production.

Yes. Seedance 2.5 supports high-quality video output and carries forward the Seedance series' strong detail rendering. Compared with general-purpose AI video tools, it is better able to preserve facial detail, product texture, environmental lighting, and visual quality in complex scenes.

Seedance 2.5 supports multimodal input, including text prompts, image references, video references, and audio references. Combining these materials gives you more precise control over characters, products, motion, style, and scene composition.

Yes. Seedance 2.5 can create videos with realistic human performances while maintaining character appearance, motion, and scene style. It is suitable for digital presenters, advertising, social content, and narrative video projects.

Seedance 2.5 combines information from reference images, video, and text to control character features, motion relationships, and visual style. Across continuous shots, this helps reduce identity changes, appearance drift, and scene instability so the result feels more coherent.

Yes. Its precise video controls can adjust selected parts of a video, such as clothing, scene elements, local details, and overall visual treatment. This lets creators refine content without regenerating the entire video.

Many AI video tools rely mainly on text prompts. Seedance 2.5 adds richer reference controls through images, video, and audio. That makes it easier to direct character identity, product appearance, motion, visual style, and camera language, especially for stable output and commercial workflows.

A typical workflow is to describe the idea, upload image, video, or audio references, adjust the generation settings, wait for the AI to create the video, and then download the result. Refining the prompt and reference materials over several iterations helps you reach a result that better matches your goal.