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2. Sora (text-to-video model) - Wikipedia

   en.wikipedia.org/wiki/Sora_(text-to-video_model)

   A video generated by Sora of someone lying in a bed with a cat on it, containing several mistakes. The technology behind Sora is an adaptation of the technology behind DALL-E 3. According to OpenAI, Sora is a diffusion transformer [10] – a denoising latent diffusion model with one Transformer as the denoiser. A video is generated in latent ...

3. 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. [2]

4. Dream Machine (text-to-video model) - Wikipedia

   en.wikipedia.org/wiki/Dream_Machine_(text-to...

   Dream Machine is a text-to-video model created by the San Francisco-based generative artificial intelligence company Luma Labs, which had previously created Genie, a 3D model generator. It was released to the public on June 12, 2024, which was announced by the company in a post on X alongside examples of videos it created. [1]

5. OpenAI launches AI video generator Sora to the public - AOL

   www.aol.com/openai-launches-ai-video-generator...

   As part of Shipmas Day 3, OpenAI just launched its AI video generator, Sora, to the public. Sora can generate up to 20-second videos from written instructions. The tool can also complete a scene ...

6. OpenAI releases AI video generator Sora to all customers - AOL

   www.aol.com/openai-releases-ai-video-generator...

   Artificial intelligence company OpenAI released its video generating program Sora to its customers Monday. The company said it wants to be on the forefront of AI video rules.

7. Diffusion model - Wikipedia

   en.wikipedia.org/wiki/Diffusion_model

   Stable Diffusion (2022-08), released by Stability AI, consists of a denoising latent diffusion model (860 million parameters), a VAE, and a text encoder. The denoising network is a U-Net, with cross-attention blocks to allow for conditional image generation.