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2. DALL-E - Wikipedia

   en.wikipedia.org/wiki/DALL-E

   e. DALL·E, DALL·E 2, and DALL·E 3 (pronounced DOLL-E) are text-to-image models developed by OpenAI using deep learning methodologies to generate digital images from natural language descriptions known as "prompts". The first version of DALL-E was announced in January 2021. In the following year, its successor DALL-E 2 was released.

3. Generative artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Generative_artificial...

   There is free software on the market capable of recognizing text generated by generative artificial intelligence (such as GPTZero), as well as images, audio or video coming from it. [78] Potential mitigation strategies for detecting AI content in general include digital watermarking , content authentication , information retrieval , and machine ...

4. Artbreeder - Wikipedia

   en.wikipedia.org/wiki/Artbreeder

   Artbreeder. Artbreeder, formerly known as Ganbreeder, [4] is a collaborative, machine learning -based art website. Using the models StyleGAN and BigGAN, [4][5] the website allows users to generate and modify images of faces, landscapes, and paintings, among other categories. [6]

5. AI Image Generators Will Blow Your Mind. Here Are the 3 Best ...

   www.aol.com/lifestyle/ai-image-generators-blow...

   While these types of plugins demonstrate AI’s ability to generate text, few are talking about AI’s ability to generate images. That’s why I’ve compiled three of the best image generators ...

6. A new AI tool creates hyperrealistic photos. Can you tell the ...

   www.aol.com/ai-tool-creates-hyperrealistic...

   Other tools are already available to consumers; the AI-generated video below, created using an AI-generated image as a starting point, was made using a paid tool called Runway. AI-generated video ...

7. Ideogram (text-to-image model) - Wikipedia

   en.wikipedia.org/wiki/Ideogram_(text-to-image_model)

   Glossary. v. t. e. Ideogram is a freemium text-to-image model developed by Ideogram, Inc. using deep learning methodologies to generate digital images from natural language descriptions known as "prompts". The model is capable of generating legible text in the images compared to other text-to-image models. [1][2]