Pix2Gif image

(Image credit: Pix2Gif image)

Microsoft’s research division has launched a new artificial intelligence model that can take a still image and turn it into a gif in a matter of seconds. 

Pix2Gif uses the same type of diffusion model found in many of the AI text-to-video models like Runway and Pika Labs but takes an “image translation” approach.

In a paper on the new publicly available model, the researchers say they’ve focused on guiding the motion through a text prompt alongside the image input. It “spatially transforms” the features of the original image based on the text prompt.

If you give it a picture of a train and say “moving on the tracks” it should make it appear the train is moving — but as it is a gif and only 2 seconds long, it won’t go very far. Its a new approach to AI generation, joining image, video and 3D models.

How do I access Pix2Gif?

Pix2Gif image

(Image credit: Pix2Gif image)

Like many of the recent run of AI models this is more of a research project than a publicly available product from Microsoft that could be built into Copilot. But it is available to try and the code can be downloaded.

This means you could run it locally on your laptop. For now the best way is to use the test environment where you can give it an image, a text prompt and get a gif.

In my experiments it took about one minute to generate a 2-second gif from a still image, although if you have a fast GPU that may be considerably faster.

All of the gifs in the story were created using the tool. They were AI images generated using Adobe Firefly then run through Pix2Gif to animate them.

What are the use cases for Pix2Gif?

Pix2Gif image

(Image credit: Pix2Gif image)

The motion-guided warping aspect is possibly more interesting than the ability to create a gif from a still image as that could be applied to other video-like models in the future and potentially allow for editing gifs. 

Something like it could be incorporated into Microsoft Designer or Paint to make it easier to animate, or even make adjustments to an image using AI.

To train the model they used 100,000 animated gifs with appropriate captions, then extracted frames from the gifs and used the captions as the text prompt. 

It isn’t clear where the gifs came from and so that might be why it is reserved as a research project. A publicly available and commercial model would require licensed data, especially if it were built into a Microsoft product.

For now it is a fun diversion tool, a way to experiment with how your still image might look if it had just a few more frames. Personally, I’ll stick to AI video tools like Runaway, Pika Labs and the upcoming OpenAI Sora

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