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Sana

Efficient-Large-Model

Official Sana source, configs, ControlNet runner, Sprint runner, and video runner are vendored under worldfoundry.base_models.diffusion_model.image.sana.

Runtime PortedUnified environmentsana

Build your run

Choose a recorded variant, then copy the exact setup or inspection command.

worldfoundry.pipeline

Variant

Tasktext-to-image

Environmentworldfoundry-unified-cu128

DeviceCUDA 12.8

worldfoundry-eval evaluate \
  --mode model \
  --model-id sana-600m-512px \
  --model-runner worldfoundry:pipeline \
  --model-manifest-dir worldfoundry/data/models/catalog \
  --requests-path tmp/requests.jsonl \
  --output-dir tmp/model_eval/sana-600m-512px \
  --metric artifact_count \
  --json

Compatibility & versions

Manifest-backed recipe

Integration: runtime ported
Runner evidence: pending
Environment: worldfoundry-unified-cu128
Python: 3.11
CUDA: CUDA 12.8
PyTorch: torch
Source revision: —
Checkpoint revision: bfbcf738fec4e4bb059a68d9d09c9c4bfc4a1cde

Runtime profile: sana
Pipeline binding: sana
Runner: worldfoundry.pipeline
Pipeline target: worldfoundry.pipelines.sana.pipeline_sana:SanaPipeline
Backend stage: in_tree_official_cli
Runtime status: in_tree_official_cli_streaming_variants_a100_workspace_validated
Driver status: compatible_unified_default
Environment kind: Unified 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 sana-600m-512px

Package constraints 4

torch
torchvision
torchaudio
xfuser

Conda packages 5

python=3.11
pip
ffmpeg
setuptools
wheel

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 sana --check-local --json

Efficient-Large-Model/Sana_600M_512px

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Efficient-Large-Model/Sana_600M_1024px

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Efficient-Large-Model/Sana_1600M_512px

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Efficient-Large-Model/Sana_1600M_512px_MultiLing

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Efficient-Large-Model/Sana_1600M_1024px

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Efficient-Large-Model/Sana_1600M_1024px_MultiLing

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Efficient-Large-Model/Sana_1600M_1024px_BF16

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Efficient-Large-Model/Sana_1600M_2Kpx_BF16

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Efficient-Large-Model/Sana_1600M_4Kpx_BF16

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Efficient-Large-Model/SANA1.5_1.6B_1024px

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Efficient-Large-Model/SANA1.5_4.8B_1024px

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Efficient-Large-Model/Sana_Sprint_0.6B_1024px

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Efficient-Large-Model/Sana_Sprint_1.6B_1024px

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Efficient-Large-Model/Sana_600M_1024px_ControlNet_HED

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Efficient-Large-Model/Sana_1600M_1024px_BF16_ControlNet_HED

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Efficient-Large-Model/SANA-Video_2B_480p

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Efficient-Large-Model/SANA-Video_2B_720p

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Efficient-Large-Model/SANA-Video_2B_480p_LongLive

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Efficient-Large-Model/SANA-Streaming

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Efficient-Large-Model/SANA-Streaming_bidirectional

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Efficient-Large-Model/Sana_1600M_1024px

Revision: bfbcf738fec4e4bb059a68d9d09c9c4bfc4a1cde
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Efficient-Large-Model/SANA-Streaming

Revision: 534c946811822f70117b8549b7e072120a4414d2
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Efficient-Large-Model/SANA-Streaming_bidirectional

Revision: 9c68733952a5fa6f96f597a18211fcc493ac66e2
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Lightricks/LTX-2

Revision: 47da56e2ad66ce4125a9922b4a8826bf407f9d0a
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Efficient-Large-Model/gemma-2-2b-it

Revision: 569d9809d0c8b6722d4d31b5a77a2ec7a400650a
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Launch & outputs

The generated command uses the shared evaluation boundary and writes durable result manifests and artifacts.

worldfoundry-eval evaluate \
  --mode model \
  --model-id sana-600m-512px \
  --model-runner worldfoundry:pipeline \
  --model-manifest-dir worldfoundry/data/models/catalog \
  --requests-path tmp/requests.jsonl \
  --output-dir tmp/model_eval/sana-600m-512px \
  --metric artifact_count \
  --json

Input contract

Field	Recorded contract
`image`	Required
`prompt`	Required
`video`	Required

Artifact contract

Artifact kind	Filename / path
`generated_image`	`sana.png`

Evidence & sources

Catalog integration, native-demo parity, and runner parity are independent records.

Integration: runtime ported
Runner evidence: pending
Native demo evidence: Not recorded
Validation imports: torch, torchvision, numpy, transformers, diffusers, xfuser, worldfoundry

Recipe provenance

worldfoundry/data/models/catalog/video/sana.yamlProjecthttps://nvlabs.github.io/Sana/Paperhttps://arxiv.org/abs/2410.10629GitHubhttps://github.com/NVlabs/SanaHugging Facehttps://huggingface.co/Efficient-Large-Model/Sana_1600M_1024pxHugging Facehttps://huggingface.co/Efficient-Large-Model/SANA-StreamingHugging Facehttps://huggingface.co/Efficient-Large-Model/SANA-Streaming_bidirectional

Build your run

Input contract

Artifact contract

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