This is an AI video generation application based on SCAIL 2 SAM3 single-subject tracking, single-person skeleton guidance, character replacement, and 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 it with the character from the reference image in the corresponding position in the video.
Unlike regular image-to-video processes, this workflow does not simply make a single image move. Instead, it uses the driving video to provide complete motion, rhythm, and camera changes. Then, SAM3 tracks the target character's area, and SCAIL 2 integrates the reference character with the driving video's actions.
The entire process is automated: 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 a single-person reference replacement. It inherits the action rhythm, camera structure, and scene foundation of the driving video while maintaining the identity, appearance, clothing, and visual style stability of the character in the reference image as much as possible.
It is suitable for single-person character replacement videos, single-person dance videos, character substitution videos, digital human motion videos, virtual character showcases, AI dance account material, 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, and generate a single-person character replacement long video with one click.


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