Skip to main content
ByteDance Seedance 2.5 Reference to Video generates, edits, or extends videos using ByteDance Seedance models (Seedance 2.5, 2.0, 2.0 Fast, and 2.0 Mini) guided by a text prompt and optional reference images, videos, audio, or previously uploaded library assets. It uploads the references, submits a generation task, waits for completion, and returns the finished video file.

Inputs

Common Inputs

Seedance 2.5 Inputs

These inputs appear when model is set to “Seedance 2.5”.

Seedance 2.0 Inputs

These inputs appear when model is set to “Seedance 2.0”.

Seedance 2.0 Fast and Seedance 2.0 Mini Inputs

These inputs appear when model is set to “Seedance 2.0 Fast” or “Seedance 2.0 Mini”. Both models share the same input set.

Reference Inputs

These growable reference slots are available for all models. The maximum number of slots differs per model: Seedance 2.5 supports up to 30 images, 10 videos, 10 audios, and 30 assets; Seedance 2.0, 2.0 Fast, and 2.0 Mini support up to 9 images, 3 videos, 3 audios, and 9 assets. Note: At least one reference image, video, or asset is required to run the node (Seedance 2.5 also accepts audio-only references). Reference videos and audios must each be at least 1.8 seconds long, and the combined duration of all reference videos (and separately, all reference audios) must not exceed the selected model’s maximum total seconds. Reference images must have an aspect ratio between roughly 2:5 and 5:2 (0.4 to 2.5), be at least 300x300 pixels, and are automatically downscaled to a maximum side of 6000 pixels. The task_type “edit” and “extend” options are only available with Seedance 2.5 and both require at least one reference video; when “edit” is used, the output keeps the source clip’s own length and aspect ratio and the duration and ratio widgets are ignored, and when “extend” is used, the output contains only the newly generated segment at the duration you set. Referenced assets must be in Active status, otherwise the task fails.

Outputs

This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub

Source fingerprint (SHA-256): 3a6bba12e719204ba5dba9d7d5f2b4c5285ed68974ee015b6e4a7892a1cf0933