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Font rasterization is the process of converting text from a vector description (as found in scalable fonts such as TrueType fonts) to a raster or bitmap description. This often involves some anti-aliasing on screen text to make it smoother and easier to read.
DALL-E has three components: a discrete VAE, an autoregressive decoder-only Transformer (12 billion parameters) similar to GPT-3, and a CLIP pair of image encoder and text encoder. [22] The discrete VAE can convert an image to a sequence of tokens, and conversely, convert a sequence of tokens back to an image.
Generative AI can also be trained extensively on audio clips to produce natural-sounding speech synthesis and text-to-speech capabilities, exemplified by ElevenLabs' context-aware synthesis tools or Meta Platform's Voicebox. [55] AI-generated music from the Riffusion Inference Server, prompted with bossa nova with electric guitar
A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description. Text-to-image models began to be developed in the mid-2010s during the beginnings of the AI boom, as a result of advances in deep neural networks.
Adobe Captivate 4 (Jan 2009) New features included SWF commenting, professional project templates, customizable widgets, roundtrip PowerPoint workflow, table of contents and aggregator, text-to-speech functionality, variables and advanced actions, expanded output options, Adobe Photoshop layer support. This version has features for ...
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