Generated Photos
Search Engine
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Generated Photos uses a type of AI system called a generative adversarial network (GAN) to produce realistic and high-quality images of human faces. The GAN consists of two parts: a generator and a discriminator. The generator tries to create new images that look like real photos, while the discriminator tries to tell apart the real photos from the fake ones. The generator and the discriminator compete with each other, improving their skills over time.
Generated Photos can be used for various creative purposes, such as presentations, apps, mockups, or production products. You can also use them to protect your privacy and identity online, by using a generated face instead of your real one. Generated Photos aims to provide a new source of generative media that is accessible, diverse, and ethical.
Pros
- You can create realistic and diverse faces with AI without hiring models or photographers.
- You can customize the faces by choosing different attributes such as gender, age, ethnicity, hair color, eye color, etc.
- You can use the generated photos for any purpose without worrying about copyrights, distribution rights, infringement claims, or royalties.
- You can access the photos via a simple API or a web app .
- You can partner with the company to create something truly special with generative media.
Cons
- The generated photos may not reflect the real diversity and complexity of human faces.
- The generated photos may raise ethical and social issues such as privacy, consent, bias, and identity.
- The generated photos may not be suitable for some projects that require high-quality or authentic images.
- The generated photos may be misused for malicious purposes such as deepfakes, scams, or harassment.
- The generated photos may have some artifacts or glitches that make them look unnatural or unrealistic.