xAI Grok Imagine

Grok Imagine is xAI’s image and video generation product family, with tools for native video-audio generation, image creation and editing. Its development expanded from generating individual clips into extending videos, using reference images and coordinating creative tasks through agents. The Imagine API, announced on January 28, 2026, packaged generation and video editing into a bundle for end-to-end creative workflows.[4][3][1]

The effort began before the API launch. In a June 1, 2026 interview, Ethan He recalled moving from NVIDIA’s Cosmos world-model work to xAI in mid-2025, around the time xAI was beginning its video-model effort. He said a few engineers built and released a model in three months, identifying that first model as Grok Imagine 0.9 with joint audio-video generation.[1]

He credited his earlier Cosmos experience, strong teammates working toward a common goal, limited meetings and xAI’s existing data and model inference foundations. Although the video effort began without its own infrastructure, data or model, those broader foundations supported rapid experiments. In his account, quality gains often came from finding small bugs in data and training pipelines; faster cycles gave the team more chances to compare models and catch errors.[1]

He explained the technical background using general and Cosmos examples, explicitly declining to disclose xAI’s specific training process. Vision-language models can generate detailed captions to pair videos with text; a tokenizer compresses images or videos into latent tokens, and a diffusion model learns to remove noise from those tokens. Image models provide a cheaper foundation for learning text-to-visual relationships before bootstrapping video generation. Temporal compression saves context length, while processing frames individually can make a model more responsive to user interaction.[1]

For joint audio-video generation, He emphasized alignment in time: the model must connect audio and video tokens at corresponding moments. A broad textual description can loosely describe an entire clip, but synchronized sound requires knowing when an action or utterance occurs. He also described detailed audio captioning as difficult because dialogue, music, beats and tones need different kinds of description.[1]

He later led a small world-model team at Grok Imagine, describing its goal as real-time, interactive, long-horizon video. One intermediate step was video extension. Rather than conditioning the next clip only on the previous clip’s last frame, He said Imagine’s extension used the history of previously generated videos, including speakers and objects. This addressed the loss of context that could otherwise change voices or degrade continuity across successive clips, while leaving the challenge of managing a growing video context.[1]

He also helped build reference-to-video generation accepting up to seven images of characters, objects or scenes. He described references as an intermediate way to supply relevant context without carrying an entire long video into every generation. His longer-term proposal was for models to select the history they needed—for example, retrieving a character’s earlier appearance when that character returned.[1]

Grok Imagine Agent beta extended this approach toward tasks requiring multiple tools. He recalled users asking the video-editing model to “Edit this video to be one minute.” Ordinary video editing handled operations such as removal, replacement and style transfer; he regarded the duration request as a valid task for an agent that could orchestrate several steps. He described Agent beta as an initial attempt in that direction. By the June interview, He had left xAI, saying he wanted to pursue research, especially on language models, that he could not do there.[1]

The January API launch supported generation from text or images and video edits that restyled scenes, added or removed objects, and controlled motion. xAI said repeated partner feedback shaped its attention to latency, concurrency and cost alongside quality: “quality alone is not enough if latency and cost make iteration painful.” The API was available through xAI and partner platforms.[3]

On June 16, 2026, Video 1.5 became generally available in the API as grok-imagine-video-1.5, while Video 1.5 Fast rolled out on Grok’s web, iOS and Android products. Sound effects, ambience and dialogue were generated in the same pass. xAI reported that Fast produced six-second, 720p clips in about 25 seconds, compared with over 40 seconds for the previous model. It also announced Projects, parallel agents and library search for rollout over the following days, and presented David Thompson’s (@heavypulp) Odyssey trailer as made entirely with Grok Imagine 1.5.[6]

On August 7, 2026, Imagine Image 2.0 became Quality Mode on web and mobile and was available through the API as grok-imagine-image-2.0. Its editing tools included regional magic-wand edits, segmentation, transparent-background export and multi-reference editing with up to five input images. Smart resize filled in the frame for a selected aspect ratio, while templates supplied configured workflows for tasks such as product shots, headshots, icons and game assets.[7]

Imagine developed within xAI. On January 6, 2026, xAI announced completion of a $20 billion Series E, exceeding its $15 billion target. Participants included Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX and Baron Capital Group; NVIDIA and Cisco Investments participated as strategic investors.[4]

In that announcement, xAI reported that Colossus I and II ended 2025 with over one million H100 GPU equivalents, and that its combined reach across X and Grok apps was approximately 600 million monthly active users. These figures describe parent-company infrastructure and combined app reach, rather than Imagine’s compute allocation or audience. On February 2, 2026, SpaceX announced that it had acquired xAI.[4][5]