Deepfake Studio

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  • 更新时间:2021-03-6 19:24
  • 访问密码:659522

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Deepfake Studio

Faceswap has evolved. Want to faceswap yourself into a movie scene? What about switching the artist in a music video? There are infinite possibilities faceswapping with deep learning using facesets.

A faceset contains images of faces you want to faceswap with allowing you to faceswap anyone with anyone!

You have the ability to create your own facesets and use them in Deepfake Studio. We currently support up to 500 images in a single faceset. That should be more than enough for anyone!

The faceswapping process requires expensive hardware, coding knowledge, and time.
Usually, a mobile device would not be able to handle this process but with Deepfake Studio, it’s easy. You don’t need expensive equipment, you don’t need to set up anything, and you don’t need to know how to code.

We bridge your device to our servers with powerful hardware that does the work for you. All you need are the images and videos you want to faceswap with. You’ll also need a bit of patience as well since the process can take a bit of time even using top-of-the-line equipment. The results are definitely worth it!

Besides our faceswapping features, we also can process images and upscale them with AI technology. Have an old photo or a low resolution image you want to scale up while maintaining the quality? You can blow up images up to 4x its original size while preserving its crisp details. This works especially well with drawings and animation.

No hassle, no maintenance, no equipment, no coding. Just have fun with it.

更多

Deepfake Studio 1.4.10 更新

2020年10月23日
1.4.10
– Introduced queue limits to provide a better user experience. A limit has been placed on the Faceswap Image and Faceswap Small Video at 300 each. Once the queue reaches the upper limit of 300, new jobs will be unavailable until it decreases to lower limit of 200. This limit will gradually increases as we amass more servers.

Features
– AI faceswap with facesets into images and videos
– Faceset creation up to 500 images in a set

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