Boximator AI Launched by TikTok (Bytedance)

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Boximator AI is an AI tool developed by the TikTok parent company Bytedance. It’s a new technique to animate the Images just by writing prompts. Their latest creation, Boximator, heralds a new era in video animation, offering unprecedented control and detail to content creators. This article will provide the complete details about Boximator.

What is Boximator AI?

Boximator = Box+Animation. Boximator is a fusion of advanced algorithms and AI technology aimed at enhancing the quality and motion of videos. Developed by a team of dedicated researchers at ByteDance, this innovative tool stands at the forefront of video animation.

Users need to draw the boxes around the selected objects in the uploaded Image. They can simply define the object’s ending position and motion path by drawing lines.

How Does Boximator Work?

Step 1: Object Selection:

Boximator begins by selecting an object within an image. You have to just draw the boxes around the selected object in the reference image, users can pinpoint their desired subject effortlessly.

Step 2: Defining Motion State:

Next comes the crucial step of defining the object’s motion state. This can be achieved through various methods, including specifying an ending box, outlining a motion path, or employing a combination of both for enhanced control.

Step 3: Multi-Object Control:

One of Boximator’s standout features is its ability to handle multiple objects simultaneously.

Step 4: Under the Hood:

Behind the scenes, Boximator operates a sophisticated system of hard boxes and soft boxes. Hard boxes ensure precise positioning and shape, while soft boxes offer flexibility in shaping and motion paths, resulting in animations that are both accurate.

Boximator’s Features:

Motion Control:

  • Hard boxes for exact positioning and shape.
  • Soft boxes for flexible shaping and motion paths.
  • User-friendly interface for intuitive animation creation.

Seamless Integration:

  • Plug-in architecture for effortless integration with existing video diffusion models.
  • Preserved base model knowledge through frozen weights.
  • Targeted training for efficient motion control learning.

Advanced Performance:

  • Self-tracking mechanism simplifies training and enhances object-motion understanding.
  • Achieves state-of-the-art video quality (FVD scores) and unparalleled motion controllability.
  • The preferred choice in user evaluations for video generation.

Comparison with Other Models:

Boximator alternatives like Pika 1.0 and Runway Gen-2.

Prompt: Very close view of a beautiful girl closing up her eyes


Pika 1.0

Runway Gen-2

Boximator in Action: Examples and Comparisons

To truly grasp the capabilities of Boximator, let’s take a look at some examples and comparisons:

Boximator Demo:

While the Boximator website is currently under development, users can still experience its capabilities by sending image and text prompts to A demonstration will be provided shortly, showcasing the power and versatility of Boximator AI.

In Conclusion:

Boximator term comes from two words Box and Animation. Bytedance has released the research paper only you can read it here. The Boximator official website is under development, but still you can use the demo by sending an image and text prompt describing the desired motion to the email address: