World models · text-to-video · image-to-video · text-image-to-video · embodied-world-model
Kairos Sensenova
Embodied World Model
Uses the in-tree Apache-2.0 official torchrun runtime under worldfoundry/synthesis/visual_generation/kairos/kairos_runtime.
Build your run
Choose a recorded variant, then copy the exact setup or inspection command.
worldfoundry-eval evaluate \
--mode model \
--model-id kairos-sensenova \
--model-runner worldfoundry:pipeline \
--model-manifest-dir worldfoundry/data/models/catalog \
--requests-path tmp/requests.jsonl \
--output-dir tmp/model_eval/kairos-sensenova \
--metric artifact_count \
--jsonCompatibility & versions
Manifest-backed recipe
- Integration
- verified
- Runner evidence
- verified
- Environment
- kairos-sensenova
- Python
- 3.10
- CUDA
- CUDA 12.8
- PyTorch
- torch==2.12.0
- Source revision
- —
- Checkpoint revision
- —
- Runtime profile
- kairos-sensenova
- Pipeline binding
- kairos-sensenova
- Runner
- worldfoundry.pipeline
- Pipeline target
- worldfoundry.pipelines.kairos.pipeline_kairos:KairosPipeline
- Backend stage
- in_tree_official_runtime
- Runtime status
- runnable
- Driver status
- compatible
- Environment kind
- Dedicated environment
Install environment
The environment resolver reads the recorded profile and chooses the unified or dedicated environment shown here.
bash scripts/setup/model_env_install.sh --model kairos-sensenovaPackage constraints 14
torch==2.12.0torchvisioneinopsflash-linear-attentionhuggingface-hubimageioimageio-ffmpegmmenginemodelscopenumpynumpydanticpillowtransformersautoawq
Conda packages 3
pythonpipffmpeg
Checkpoints & assets
Run the local check before allocating compute. Gated, private, and license fields below come directly from the checkpoint manifest.
worldfoundry-eval zoo model-download --model-id kairos-sensenova --check-local --json- Revision
- —
- License
- —
- Gated
- —
- Private
- —
- Revision
- —
- License
- —
- Gated
- —
- Private
- —
- Revision
- —
- License
- —
- Gated
- —
- Private
- —
Launch & outputs
The generated command uses the shared evaluation boundary and writes durable result manifests and artifacts.
worldfoundry-eval evaluate \
--mode model \
--model-id kairos-sensenova \
--model-runner worldfoundry:pipeline \
--model-manifest-dir worldfoundry/data/models/catalog \
--requests-path tmp/requests.jsonl \
--output-dir tmp/model_eval/kairos-sensenova \
--metric artifact_count \
--jsonInput contract
| Field | Recorded contract |
|---|---|
prompt | Required |
image | Required |
video | Optional |
actions | seed |
Artifact contract
| Artifact kind | Filename / path |
|---|---|
generated_video | kairos-sensenova.mp4 |
Evidence & sources
Catalog integration, native-demo parity, and runner parity are independent records.
- Integration
- verified
- Runner evidence
- verified
- Native demo evidence
- Not recorded
- Validation imports
- torch, mmengine, transformers, imageio, fla, apex, sageattention
worldfoundry/data/models/catalog/world_models/kairos-sensenova.yamlGitHubhttps://github.com/kairos-agi/kairos-sensenovaHugging Facehttps://huggingface.co/kairos-agi/kairos-sensenova-4B-480P-pretrainedHugging Facehttps://huggingface.co/kairos-agi/kairos-sensenova-robot-4B-480P-distilledHugging Facehttps://huggingface.co/kairos-agi/kairos-sensenova-4B-720P



