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2. Text-to-image model - Wikipedia

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

   Text-to-image model. An image conditioned on the prompt "an astronaut riding a horse, by Hiroshige ", generated by Stable Diffusion, a large-scale text-to-image model 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. Wikipedia:Extended image syntax - Wikipedia

   en.wikipedia.org/wiki/Wikipedia:Extended_image...

   text-bottom: Align the bottom of the image to the bottom of the text. This is somewhat lower than the baseline, because of descenders in letters like lower-case "y". top: Align the top of the image to the top of the line containing the text. Normally this is slightly higher than the top of the text, to make space between lines of text.

4. Text-to-image generator - Wikipedia

   en.wikipedia.org/?title=Text-to-image_generator&...

   Language links are at the top of the page across from the title.

5. Swoosh - Wikipedia

   en.wikipedia.org/wiki/Swoosh

   Swoosh. The Swoosh is the logo of American sportswear designer and retailer Nike. Today, it has become one of the most recognizable brand logos in the world, and the most valuable, having a worth of $26 billion alone. [1] [2] Bill Bowerman and Phil Knight founded Nike on January 25, 1964, as Blue Ribbon Sports (BRS).

6. Artificial intelligence art - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence_art

   In the 2020s, text-to-image models, which generate images based on prompts, became a trend. In 2021, using the influential large language generative pre-trained transformer models that are used in GPT-2 and GPT-3, OpenAI released a series of images created with the text-to-image AI model DALL-E.

7. Text-to-image personalization - Wikipedia

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

   Text-to-image personalization. Text-to-Image personalization is a task in deep learning for computer graphics that augments pre-trained text-to-image generative models. In this task, a generative model that was trained on large-scale data (usually a foundation model ), is adapted such that it can generate images of novel, user-provided concepts.