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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. [2]
A video is generated in latent space by denoising 3D "patches", then transformed to standard space by a video decompressor. Re-captioning is used to augment training data , by using a video-to-text model to create detailed captions on videos.
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.
Text-to-video generation, such as text-to-video generators, generated videos etc. Pages in category "Text-to-video generation" The following 11 pages are in this ...
Of course there is much more to AI than generative AI like both DeepSeek and ChatGPT - tools that create content like text, images, video. It may well be the most widely accessible to us as consumers.
This is achieved by textual inversion, namely, finding a new text term that correspond to these images. Following other text-to-image models, language model-powered text-to-video platforms such as Runway, Make-A-Video, [13] Imagen Video, [14] Midjourney, [15] and Phenaki [16] can generate video from text and/or text/image prompts. [17]
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