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  2. Text-to-image model - Wikipedia

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

    An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.

  3. Generative artificial intelligence - Wikipedia

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

    As of August 2023, more than 15 billion images had been generated using text-to-image algorithms, with 80% of these created by models based on Stable Diffusion. [183] If AI-generated content is included in new data crawls from the Internet for additional training of AI models, defects in the resulting models may occur. [184]

  4. Stable Diffusion - Wikipedia

    en.wikipedia.org/wiki/Stable_Diffusion

    Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology is the premier product of Stability AI and is considered to be a part of the ongoing artificial intelligence boom.

  5. Google’s new AI tool uses image prompts instead of text

    www.aol.com/google-ai-tool-uses-image-214855525.html

    Since OpenAI initially launched its text-to-image creation tool, Dall-E, in 2021, the concept of AI-generated artwork has swamped social media and become a focus of consumer products. Google’s ...

  6. Elon Musk’s AI photo tool is generating realistic, fake ...

    www.aol.com/elon-musk-ai-photo-tool-140600421.html

    Elon Musk’s AI chatbot Grok on Tuesday began allowing users to create AI-generated images from text prompts and post them to X. Almost immediately, people began using the tool to flood the ...

  7. Here's how to spot AI-generated images, videos, audio and text

    www.aol.com/heres-spot-ai-generated-images...

    AI-generated images: Look at the context for red flags. It’s hard to spot fakes, so the most reliable cause for suspicion is often the context in which you see an image.

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