Generated Photos is an AI face generator that allows users to create a unique person with a few simple parameters. Through this tool, users can select the age, head pose, skin tone, emotion, sex, and hair color of the person they are generating.
With over 11,232,000 variants of the same face, users can tweak the parameters for a variety of faces. Generated Photos also ensures its images are worry-free and 100% BIPA and GDPR safe, using only model-released images from their studio.
These photos are also identifiable as AI-generated, as they may have centered eyes, asymmetric earrings, reflections in the eyes, etc. They can be used for creative works, ecommerce, and academic research. Generated Photos is trained on studio photos by Icons8 and uses cookies and local storage for better UX, analytics, and suggestions.
More details about Face-generator
What kind of data is Face Generator trained on?
Face Generator is trained on studio photos by Icons8. This ensures GDPR and BIPA compliance by using only model-released images from their studio.
Is there an API available for Face Generator?
Yes, an API is available for Face Generator as listed on their website under the API section.
What is Face Generator?
Face Generator is an AI application by Generated Photos that allows users to create unique, customized avatars or faces with several different parameters. It’s an ideal tool for anyone seeking to tailor a face to specific characteristics, such as age, head pose, skin tone, emotion, sex, and hair color.
Can Face Generator generate both adult and baby faces?
Yes, Face Generator can generate both adult and baby faces. The age parameter within the generator allows you to specify the age group for the face you want to generate.
Why might the Generated Photos sometimes seem a bit buggy?
Generated Photos can sometimes appear a bit buggy due to the AI’s lack of full understanding of human appearance. For example, people pose with a surprisingly narrow range of angles and hairstyles are much more diverse than noses, creating a disparity that can result in inconsistencies or ‘bugs’ in the generated images.
