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

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

   Ideogram was founded in 2022 by Mohammad Norouzi, William Chan, Chitwan Saharia, and Jonathan Ho to develop a better text-to-image model. [3]It was first released with its 0.1 model on August 22, 2023, [4] after receiving $16.5 million in seed funding, which itself was led by Andreessen Horowitz and Index Ventures.

3. 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.

4. AOL Mail

   mail.aol.com

   Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

5. Bullet journal - Wikipedia

   en.wikipedia.org/wiki/Bullet_journal

   Monthly Log – The monthly log helps you plan and track tasks, events, and goals on a monthly basis. It often includes a calendar view with space to record key dates and appointments. [10] Daily/Weekly Log – The daily or weekly log is where you record tasks, events, and notes on a day-to-day or week-to-week basis. The log typically includes ...

6. Task management - Wikipedia

   en.wikipedia.org/wiki/Task_management

   Task management software tools abound in the marketplace. Some are free, while others are intended for enterprise-wide deployment purposes. Some are simple to-do lists, while others boast enterprise-wide task creation, visualization, and notification capabilities, among other features. Task management is used by small to Fortune 100-sized ...

7. Text-to-image personalization - Wikipedia

   en.wikipedia.org/wiki/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.