Our Algorithms
Our cutting-edge machine learning technology leverages two distinct algorithms, Algorithm A (Nudifier 1) and Algorithm B (Nudifier 2, each utilizing unique training image sets. By employing both Algorithm A and Algorithm B, users can achieve the best possible outcome when processing their images. It is highly recommended to compare and analyze the results obtained from both versions to ensure optimal results.
We would like to highlight that our free plan preview exclusively employs the Nudifier 1 A.I. prior to the application adding blur. This advanced algorithm, developed through deepfake and deepnude AI technology, is designed to enhance the accuracy and realism of image processing.
Nudifier 1 demonstrates remarkable capabilities in accurately predicting the size of subjects with average to small breasts. Additionally, it showcases superior performance when dealing with individuals possessing fair to dark skin tones. These features make it an ideal choice for users seeking exceptional results in these specific areas.
On the other hand, Nudifier 2 has been meticulously trained to excel in predicting the size of subjects with average to larger breasts. It exhibits superior performance when processing images of individuals with fair to light skin tones. Moreover, Nudifier 2 showcases its strength in handling images that may be considered challenging due to their quality or non-compliance with the recommended upload guidelines.
Deepfake and Deepnude are cutting-edge ai technologies that underpin our algorithms, enabling us to deliver state-of-the-art results. These technologies leverage the power of artificial intelligence to generate highly realistic and visually convincing outputs.
In conclusion, our algorithms, Nudifier 1 and Nudifier 2, are designed to offer users the best possible results based on the specific characteristics of the subjects and images being processed. By utilizing these algorithms and taking advantage of deepfake and deepnude AI technology, users can achieve exceptional outcomes in their image processing tasks.
