Kairos Sensenova

Kairos Sensenova from SenseTime (SenseNova): text-to-video and image-to-video; Verified; dedicated `kairos-sensenova`.
Kairos Sensenova is SenseTime's embodied world-model video generator: a 4B model covering text-, image-, and text+image-to-video with a robot-oriented distilled recipe. In this catalog both integration and runner are verified — the default robot 4B 480P DMD text-to-video recipe runs through the in-tree Apache-2.0 torchrun runtime with 8 ranks.


The recorded paper is arXiv 2606.16533.
Code: kairos-agi/kairos-sensenova.
Build your run
KairosPipelineworldfoundry.pipelines.kairos.pipeline_kairosdefaultworldfoundry.pipelineworldfoundry-eval run \
kairos-sensenova \
--pipeline.task-profile default \
--jsonWhat it is for
kairos-sensenova is the recorded interactive world line. Start here when the job is stepping a world with actions.
The default runnable variant follows the official robot 4B 480P distilled recipe (kairos_4b_config_DMD.py): 81 frames, 480x640, cfg_scale 5, tiled VAE decode, no CFG-parallel. Recorded checkpoints cover the robot 480P distilled, 480P pretrained, and 720P variants; the config layout expects Kairos, Qwen, and Wan2.1-T2V-14B subdirectories. It is published by SenseTime (SenseNova).
Catalog tasks include text-to-video, image-to-video, text-image-to-video, and embodied-world-model. Catalog aliases include Kairos, Kairos Sensenova, kairos-4b, and kairos-sensenova-4b. Documented modalities: text and image in, video out.
Recorded evaluation entry points include VBench (Video quality for text/image-to-video output), EWMBench (Embodied world-model prediction quality).
Runtime contract
Optional prompt, negative_prompt, frames, height, and width; artifacts kairos-sensenova.mp4.
CLI task profiles: default. WorldFoundry binds KairosPipeline.
Family status: Verified.
Recorded default defaults: frames=81, height=480, width=640, seed=0.
Set WORLDFOUNDRY_KAIROS_MODELS_ROOT (or models_root) to a directory matching the official config layout. 720P and non-distilled variants need the corresponding checkpoint paths and config override.
Running in WorldFoundry
Launch worldfoundry-eval run kairos-sensenova --pipeline.task-profile default to step the world. The command builder above switches --pipeline.task-profile among recorded tasks and still emits worldfoundry-eval run.
Recorded weight repositories include kairos-agi/kairos-sensenova-robot-4B-480P-distilled, kairos-agi/kairos-sensenova-4B-480P-pretrained, and kairos-agi/kairos-sensenova-4B-720P. Prepare the environment and check local assets with bash scripts/inference/prepare_model_infer.sh kairos-sensenova. Add --download to fetch missing public checkpoints.
Status: Verified.


