---
license: other
license_name: nvidia-open-model-license
license_link: LICENSE
library_name: mlx
pipeline_tag: text-to-image
tags:
  - sana
  - text-to-image
  - mlx
  - sceneworks
  - non-commercial
---

# SANA 1600M 1024px — SceneWorks MLX mirror

Un-gated, repackaged mirror of [`Efficient-Large-Model/Sana_1600M_1024px_diffusers`](https://huggingface.co/Efficient-Large-Model/Sana_1600M_1024px_diffusers)
for the [SceneWorks](https://github.com/SceneWorks) native MLX worker (`mlx-gen-sana`).

The tensors are **copied verbatim** (dtype-preserving — no conversion, no
re-quantization) into the directory layout that `SanaPipeline::from_snapshot`
expects:

```
transformer/diffusion_pytorch_model.safetensors   # SANA 1.6B Linear-DiT trunk (F16)
vae/diffusion_pytorch_model.safetensors           # 32x DC-AE f32c32 decoder (F32)
text_encoder/gemma-2-2b-it.safetensors            # gemma-2-2b-it CHI caption encoder (BF16)
text_encoder/tokenizer.json
```

The gemma-2-2b-it text encoder is sourced from the un-gated
[`SceneWorks/gemma-2-2b-it`](https://huggingface.co/SceneWorks/gemma-2-2b-it)
mirror (merged from its two shards into one file) so the SANA snapshot is
self-contained.

## License — NON-COMMERCIAL

SANA is distributed under the **NVIDIA Open Model License** (see [`LICENSE`](LICENSE)
and [`NOTICE`](NOTICE)). This is a non-commercial license: the model and its
outputs are for **research and evaluation use only**. By downloading these
weights you agree to the NVIDIA Open Model License terms. The bundled gemma-2-2b-it
encoder is under the Google Gemma Terms of Use.

This mirror adds no additional grant and alters no weights.