This is an AI video generation application based on SCAIL 2, WanAnimatePlus, SAM3 subject tracking, and multi-image multi-character references.
Users only need to upload a driving video, a main reference image, multiple supplementary reference images, and an optional background image. The system will automatically recognize the subject's actions and character areas in the driving video and integrate the character appearances from the reference images into the video.
Unlike ordinary image-to-video generation, this process does not create a short clip using just one image. Instead, it combines the driving video, multiple character reference images, background images, and subject tracking masks. It not only inherits the actions, poses, and rhythm of the original video but also strives to retain the identity, clothing, appearance, and character traits of the reference characters.
The workflow automatically completes: driving video reading, video size unification, reference image size unification, SAM3 subject tracking, multi-character mask generation, SCAIL 2 conditional fusion, WanAnimatePlus sampling generation, video decoding, frame interpolation, and final video export.
The final output is a new video generated based on the driving video, suitable for character replacement, motion transfer, multi-character reference videos, AI dance videos, short story films, digital human showcases, background replacement, and multi-character creative video production.
If packaged as a RunningHub application, the core selling point can be directly expressed as:
Upload a driving video and multiple character reference images, and generate consistent multi-character AI motion videos with one click.


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