ByteDance has debuted a text-to-video mobile app in its native China that is available on the company’s TikTok equivalent there, Douyin. Called Jimeng AI, there is speculation that it will be coming to North America and Europe soon via TikTok or ByteDance’s CapCut editing tool, possibly beating competing U.S. technologies like OpenAI’s Sora to market. Jimeng (translation: “dream”) uses text prompts to generate short videos. For now, its responsiveness is limited to prompts written in Chinese. In addition to entertainment, the app is described as applicable to education, marketing and other purposes. Continue reading ByteDance Intros Jimeng AI Text-to-Video Generator in China

Google is launching two new AI models: the video generator Veo and Imagen 3, billed as the company’s “highest quality text-to-image model yet.” The products were introduced at Google I/O this week, where new demo recordings created using the Music AI Sandbox were also showcased. The 1080p Veo videos can be generated in “a wide range of cinematic and visual styles” and run “over a minute” in length, Google says. Veo is available in private preview in VideoFX by joining a waitlist. At a future date, the company plans to bring some Veo capabilities to YouTube Shorts and other products. Continue reading Veo AI Image Generator and Imagen 3 Unveiled at Google I/O

Lightricks, the company behind apps including Facetune, Photoleap and Videoleap, has come up with a text-to-video tool called LTX Studio that it is being positioned as a turnkey AI tool for filmmakers and other creators. “From concept to creation,” the new app aims to enable “the transformation of a single idea into a cohesive, AI-generated video.” Currently waitlisted, Lightricks says it will make the web-based tool available to the public for free, at least initially, beginning in April, allowing users to “direct each scene down to specific camera angles with specialized AI.” Continue reading Lightricks LTX Studio Is a Text-to-Video Filmmaking Platform

Google has come up with a new approach to high resolution AI video generation with Lumiere. While most GenAI video models output individual high resolution frames at various points in the sequence (called “distant keyframes”), fill in the missing frames with low-res images to create motion (known as “temporal super-resolution,” or TSR), then up-res that connective tissue (“spatial super-resolution,” or SSR) of non-overlapping frames, Lumiere takes what Google calls a “Space-Time U-Net architecture,” which processes all frames at once, “without a cascade of TSR models, allowing us to learn globally coherent motion.” Continue reading Google Takes New Approach to Create Video with Lumiere AI