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There are several architectures that have been used to create Text-to-Video models. Similar to Text-to-Image models, these models can be trained using Recurrent Neural Networks (RNNs) such as long short-term memory (LSTM) networks, which has been used for Pixel Transformation Models and Stochastic Video Generation Models, which aid in consistency and realism respectively. [31]
Original file (WebM audio/video file, VP8/Vorbis, length 3 min 20 s, 1,920 × 1,080 pixels, 2.06 Mbps overall, file size: 49.08 MB) This is a file from the Wikimedia Commons . Information from its description page there is shown below.
Sora is a text-to-video model developed by OpenAI. The model generates short video clips based on user prompts, and can also extend existing short videos. Sora was released publicly for ChatGPT Plus and ChatGPT Pro users in December 2024. [1] [2]
Dream Machine is a text-to-video model created by Luma Labs and launched in June 2024. It generates video output based on user prompts or still images. Dream Machine has been noted for its ability to realistically capture motion, while some critics have remarked upon the lack of transparency about its training data.
CLIP has been used in various domains beyond its original purpose: Image Featurizer: CLIP's image encoder can be adapted as a pre-trained image featurizer. This can then be fed into other AI models. [1] Text-to-Image Generation: Models like Stable Diffusion use CLIP's text encoder to transform text prompts into embeddings for image generation. [3]
A video about the importance of transparency of AI in medicine One key benefit of open-source AI is the increased transparency it offers compared to closed-source alternatives. With open-source models, the underlying algorithms and code are accessible for inspection, which promotes accountability and helps developers understand how a model ...
Page dormant for two years now, though videos are added through smaller projects. Commons:Category:Lights Camera Wiki - All Lights Camera Wiki videos produced from the project; Commons:Category:Videos_by_Alverno_College_Advanced_Media_Studies - Alverno College's video efforts, in a Commons category; Commons:Video
CLIPS (C Language Integrated Production System) is a public-domain software tool for building expert systems.The syntax and name were inspired by Charles Forgy's OPS5.The first versions of CLIPS were developed starting in 1985 at the NASA Johnson Space Center (as an alternative for existing system ART*Inference) until 1996, when the development group's responsibilities ceased to focus on ...