Frequently Asked Questions

Q. Do cloud usage rights expire?

A. Cloud usage rights expire after 6 months from the date of purchase.

Q. How many hours of cloud usage rights should I purchase to create a deepfake?

A. Currently, the minimum amount of time required for learning and face swapping is 5 hours($10),
For face swaps only (using a trained model purchased from the model market place or a model trained by yourself), it is 1 hour ($2)
Because it is difficult to accurately predict the actual amount of time required, we calculate rough standard estimates.

Q. If the purchased cloud usage rights are insufficient, will the creation of the video stop midway through?

A. Once learning begins, creation of the video will not be only partially created due to the lack of hours. If creation fails due to system issues, the usage rights will be refunded. If the actual number of hours exceeds your usage rights, your cloud usage rights will be negative, and that time will be balanced at the time of your next purchase.

Q. Is it possible to create a Deepfakes video even if there are multiple people in the video?

A. Since the system attempts to recognize the faces everyone that appears in the video, if anyone other than the target person appears in the video, it will have a negative influence on the learning or swapping.
It is better if only the target person is appears with high precision and without blurring as much as possible.

Q. How can I improve the quality of Deepfakes videos?

A. It is better to use a video (or image) in which only the target person appears with high precision and without blurring.
Also, it is better for there to be variations in the expressions and facial angles of person in the video.
To improve the quality of Deepfakes, a video file should be longer than 20 sec, and the number of images should be higher than 300. You can also combine videos and images.
Although additional fees will be incurred, the quality will improve by repeating learning with the same (or different) material several times.

Q. When a creation fails?

A. The main cause of failure to create deepfakes is that we could not detect enough learning data volume.
Since blurred or ambiguous materials are excluded in the process of learning, please upload a lot of learning data with better reflection and try again.