This is an AI video generation application based on SCAIL 2 SAM3 single-subject tracking single-person skeletal motion guidance long video looping extension.
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 actions in the driving video and allow the character in the reference image to follow the video for motion transfer.
Unlike ordinary image-to-video processes, this workflow does not just make the image move simply. Instead, it uses the driving video to provide complete actions, rhythm, and camera changes, then employs SAM3 to track a single subject area and integrates the reference character with motion guidance using SCAIL 2.
The entire process is completed automatically: driving video reading, reference image size unification, driving video size unification, single-subject recognition, subject masking generation, SCAIL 2 skeletal motion guidance, initial segment generation, looping extension, overlapping frame processing, color matching, frame sequence merging, original video audio integration, and final video output.
The final output is a single-subject motion video that inherits the action rhythm and motion trajectory of the driving video while striving 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 motion 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 single-character long video motion effects with one click.


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