This is an AI video generation application based on SCAIL 2 SAM3 single-subject tracking single-person skeleton guidance character replacement long video loop continuation.
Users only need to upload a single-person reference image and a single-person driving video. The system will automatically identify the target character in the driving video and replace the character in the reference image to the corresponding position in the video.
Unlike ordinary image-to-video processes, this workflow doesn't simply make a single image move. Instead, it uses the driving video to provide complete movements, rhythm, and camera changes, tracks the target character region through SAM3, and combines the reference character with the driving video's actions using SCAIL 2.
The entire workflow is completed automatically: driving video reading, reference image size unification, driving video size unification, single-subject recognition, target character mask generation, SCAIL 2 character replacement, 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 long video with single-person reference replacement. It inherits the movement rhythm, camera structure, and scene foundation of the driving video while maintaining the identity, appearance, clothing, and visual style of the character in the reference image as much as possible.
It is suitable for single-person replacement videos, single-person dance videos, character replacement videos, digital human motion videos, virtual character showcases, AI dance account materials, short drama character replacements, character reference editing, and RunningHub video application packaging.
If packaged as a RunningHub application, the core selling point can be directly expressed as:
Upload a character reference image and a driving video to generate a long single-person role replacement video with one click.


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