This is an AI video processing application based on LTX 2.3 IC LoRA Outpaint video aspect ratio expansion.
Users only need to upload a video, set the target width and height, and input expansion prompts. The system will then expand the original video to fit the new aspect ratio.
Unlike ordinary video cropping, stretching, or adding black borders, this process does not simply change the frame size. Instead, it intelligently generates new environmental content outside the original frame based on the original video content, character movements, scene structure, and prompts, making the video adapt to a wider or taller aspect ratio.
The entire process is completed automatically: source video reading, frame rate reading, video frame extraction, target aspect ratio setting, original video scaling, canvas filling, expansion area construction, LTX 2.3 IC LoRA guidance, video redrawing and generation, gamma correction, video frame composition, original audio retention, and final video output.
The final output is a video with an expanded aspect ratio, which not only retains as much of the original video’s characters, actions, pacing, and main content as possible but also fills in more natural background and scene extensions beyond the original frame.
It is suitable for converting vertical videos to horizontal, horizontal to widescreen, short video aspect ratio expansion, video edge padding, advertisement video revisions, YouTube horizontal screen adaptation, Xiaohongshu/Douyin content repackaging, AI video reconstruction, and RunningHub video application integration.
If packaged as a RunningHub application, the core selling point can be directly conveyed as:
Upload a video, set the target ratio, and expand the frame intelligently with one click.


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