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2. Generative artificial intelligence - Wikipedia

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

   Generative AI features have been integrated into a variety of existing commercially available products such as Microsoft Office (Microsoft Copilot), [85] Google Photos, [86] and the Adobe Suite (Adobe Firefly). [87] Many generative AI models are also available as open-source software, including Stable Diffusion and the LLaMA [88] language model.

3. Flux (text-to-image model) - Wikipedia

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

   Flux (also known as FLUX.1) is a text-to-image model developed by Black Forest Labs, based in Freiburg im Breisgau, Germany. Black Forest Labs were founded by former employees of Stability AI . As with other text-to-image models, Flux generates images from natural language descriptions, called prompts .

4. List of presentation programs - Wikipedia

   en.wikipedia.org/wiki/List_of_presentation_programs

   Apache OpenOffice Impress - Linux, macOS, Windows; Beamer - Unix-like, Windows; Calligra Stage - Linux, Windows; Collabora Online - Android, ChromeOS, iOS, iPadOS ...

5. 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).

6. Freepik - Wikipedia

   en.wikipedia.org/wiki/Freepik

   AI Image Generator is a tool for creating photorealistic images and digital art from text prompts using advanced AI models. [20] AI Video Generator allows users to transform descriptive prompts and images into short video clips, simplifying video creation. [21] [22] AI Voice Generator converts written text into natural-sounding speech ...

7. Text-to-video model - Wikipedia

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

   A text-to-video model is a machine learning model that uses a natural language description as input to produce a video relevant to the input text. [1] Advancements during the 2020s in the generation of high-quality, text-conditioned videos have largely been driven by the development of video diffusion models .