Answers.Body: <p>According to the <a href="https://generated.photos/faq" rel="nofollow noreferrer">information</a> from the site:</p>
  <blockquote>
  <p>We have built a proprietary dataset by taking tens of thousands of
  images of people in our studio. These photos are taken in a controlled
  environment allowing us to make sure that each face has consistent
  look and quality. After shooting, photos are tagged, categorized, and
  added to a dataset that is used for machine learning training. In an
  on-going fashion we feed this dataset into <strong>generative adversarial</strong>
  <strong>networks</strong> to produce faces that have never existed. Further machine
  learning processes take place after the faces are created in order to
  identify and remove flawed faces. The final results are made available
  through our website or API integration.</p>
  </blockquote>
  <p>The algorithm they use is a <a href="https://paperswithcode.com/method/gan" rel="nofollow noreferrer">generative adversarial network</a>. A sota architecture today is <a href="https://paperswithcode.com/method/stylegan2" rel="nofollow noreferrer">StyleGAN2</a> or, a new version of it, <a href="https://nvlabs.github.io/alias-free-gan/" rel="nofollow noreferrer">Alias-Free GAN</a>.</p>
  <p>Here is a live demo of StyleGAN2: <a href="https://thispersondoesnotexist.com/" rel="nofollow noreferrer">https://thispersondoesnotexist.com/</a></p>
  <p>And here is the official PyTorch implementation: <a href="https://github.com/NVlabs/stylegan2" rel="nofollow noreferrer">https://github.com/NVlabs/stylegan2</a></p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2021-07-23T16:14:58.773Z
Answers.LastActivityDate: 2021-07-23T16:14:58.773Z
Answers.UserDisplayName: Aray Karjauv
Body: <p>I came across a <a href="https://generated.photos/" rel="nofollow noreferrer">https://generated.photos/</a> site that claims to produce images entirely by artificial intelligence.
  My question is how does this program work? What mechanism and libraries should I use if I want to do a project like this?</p>
  
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Comments.CreationDate: 2021-07-23T15:45:56.057Z
Comments.Text: Hello, welcome to Artificial Intelligence Stack Exchange. Your question is very broad. So, the question can be closed. Please click [here](https://ai.stackexchange.com/help/how-to-ask) to check how to ask a nice question.
Comments.UserDisplayName: hanugm
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Comments.Text: You can search [here](https://ai.stackexchange.com/questions/tagged/image-generation) and [here](https://ai.stackexchange.com/questions/tagged/generative-adversarial-networks?tab=Votes)
Comments.UserDisplayName: hanugm
Tags: <image-processing>
Title: how produce image of face working with AI
UserDisplayName: hossein
ThreadText: # how produce image of face working with AI
  
  (Asked by: username_0 on 2021-07-23)
  
  I came across a <https://generated.photos/> site that claims to produce images entirely by artificial intelligence.
  My question is how does this program work? What mechanism and libraries should I use if I want to do a project like this?
  
  **Tags:** image-processing
  > **Comments:**
  > **username_1**: Hello, welcome to Artificial Intelligence Stack Exchange. Your question is very broad. So, the question can be closed. Please click [here](https://ai.stackexchange.com/help/how-to-ask) to check how to ask a nice question.  
  > **username_1**: You can search [here](https://ai.stackexchange.com/questions/tagged/image-generation) and [here](https://ai.stackexchange.com/questions/tagged/generative-adversarial-networks?tab=Votes)  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_2 on 2021-07-23. Score: 2
  
  According to the [information](https://generated.photos/faq) from the site:
  
  > We have built a proprietary dataset by taking tens of thousands of
  > images of people in our studio. These photos are taken in a controlled
  > environment allowing us to make sure that each face has consistent
  > look and quality. After shooting, photos are tagged, categorized, and
  > added to a dataset that is used for machine learning training. In an
  > on-going fashion we feed this dataset into **generative adversarial**
  > **networks** to produce faces that have never existed. Further machine
  > learning processes take place after the faces are created in order to
  > identify and remove flawed faces. The final results are made available
  > through our website or API integration.
  
  The algorithm they use is a [generative adversarial network](https://paperswithcode.com/method/gan). A sota architecture today is [StyleGAN2](https://paperswithcode.com/method/stylegan2) or, a new version of it, [Alias-Free GAN](https://nvlabs.github.io/alias-free-gan/).
  
  Here is a live demo of StyleGAN2: <https://thispersondoesnotexist.com/>
  
  And here is the official PyTorch implementation: <https://github.com/NVlabs/stylegan2>
  
  
  ---
  
  