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  2. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    DALL-E, DALL-E 2, and DALL-E 3 are deep learning models that generate images from natural language descriptions. They are based on GPT-3 and CLIP, and can create various styles, manipulate objects, and generate watermarks.

  3. Midjourney - Wikipedia

    en.wikipedia.org/wiki/Midjourney

    Midjourney is a generative artificial intelligence program and service created by Midjourney, Inc., a San Francisco-based research lab. It generates images from natural language descriptions, similar to OpenAI's DALL-E and Stability AI's Stable Diffusion.

  4. Generative artificial intelligence - Wikipedia

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

    Learn about the history, applications, and challenges of generative AI, which is AI capable of creating text, images, videos, or other data using generative models. Explore examples of generative AI systems, such as chatbots, text-to-image models, and transformer networks.

  5. AI tools can create new images, but who is the real artist?

    www.aol.com/news/ai-tools-create-images-real...

    The lawsuit said AI-generated images “compete in the marketplace with the original images. ... After a free trial of Midjourney through the chatting app Discord, for instance, users must buy a ...

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

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

    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]

  7. Text-to-image model - Wikipedia

    en.wikipedia.org/wiki/Text-to-image_model

    Learn about machine learning models that generate images from natural language descriptions. Explore the history, architecture, datasets, and quality evaluation of text-to-image models, such as DALL-E, Imagen, and Stable Diffusion.

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