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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. Canva - Wikipedia

   en.wikipedia.org/wiki/Canva

   On December 7, 2022, Canva launched Magic Write, which is the platform’s AI-powered copywriting assistant. [33] On March 22, 2023, Canva announced its new Assistant tool, which makes recommendations on graphics and styles that match the user's existing design. [34] On January 11, 2024, Canva launched its own GPT in OpenAI's GPT Store. [35]

4. ImageMagick - Wikipedia

   en.wikipedia.org/wiki/ImageMagick

   Draw: add shapes or text to an image. Decorate: add a border or frame to an image. Special effects: blur, sharpen, threshold, or tint an image. Animation: assemble a GIF animation file from a sequence of images. Text and comments: insert descriptive or artistic text in an image. Image identification: describe the format and attributes of an image.

5. Pixelmator Classic - Wikipedia

   en.wikipedia.org/wiki/Pixelmator_Classic

   Pixelmator Classic is a raster graphic editor developed for macOS [1] [2] by Pixelmator Team, and built upon a combination of open-source and macOS technologies. Pixelmator features selection, painting, retouching, navigation, and color correction tools; as well as layers-based image editing, GPU-powered image processing, color management, automation, and a transparent head-up display user ...

6. 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!

7. Diffusion model - Wikipedia

   en.wikipedia.org/wiki/Diffusion_model

   DALL-E 2 is a 3.5-billion cascaded diffusion model that generates images from text by "inverting the CLIP image encoder", the technique which they termed "unCLIP". The unCLIP method contains 4 models: a CLIP image encoder, a CLIP text encoder, an image decoder, and a "prior" model (which can be a diffusion model, or an autoregressive model).