This is an AI video generation application based on SCAIL 2, SAM3, single-subject tracking, single-person skeleton motion guidance, and long video looping continuation.
Users only need to upload a reference image of a single person, single character, single creature, or anthropomorphic character, and then upload a single-person driving video. The system will automatically recognize the subject's movements in the driving video and enable the character in the reference image to follow the video's motion transfer.
Unlike ordinary image-to-video processes, this workflow does not just make the image move simply. Instead, it provides complete actions, rhythms, and camera transitions through the driving video. Then, it uses SAM3 to track the single subject area and SCAIL 2 to combine the reference character with motion guidance.
The entire process is completed automatically: driving video reading, reference image size unification, driving video size unification, single-subject recognition, subject mask generation, SCAIL 2 skeleton motion guidance, initial segment generation, loop continuation, overlapping frame processing, color matching, frame sequence merging, original video audio integration, and final video output.
The final output is a single-subject action video that not only inherits the motion rhythm and trajectory of the driving video but also strives to maintain the reference character's appearance, identity features, body structure, and visual style stability.
It is suitable for single-person dance videos, single-character motion transfer, virtual character videos, animal or anthropomorphic creature motion guidance, digital human showcases, AI dance material, short drama character action replication, and RunningHub video application packaging.
If packaged as a RunningHub application, the core selling point can be directly expressed as:
Upload a character image and a driving video to generate a single-character long video motion effect with one click.


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