---
license: mit
library_name: diffusers
pipeline_tag: text-to-image
tags:
  - text-to-image
  - lens
  - flux
  - gpt-oss
---

# Lens-Turbo

Self-contained diffusers-layout snapshot of Microsoft's **Lens-Turbo** (distilled) text-to-image model,
re-assembled for in-house (SceneWorks) use after Microsoft removed the original `microsoft/Lens-Turbo`
repository from the Hub.

This is a **repackage**, not a retrain — every weight is byte-identical to a public upstream source
(verified by tensor-level comparison against Comfy-Org's authentic redistribution):

| Component        | Source                                                                 | License    |
|------------------|------------------------------------------------------------------------|------------|
| `transformer/`   | Lens-Turbo DiT, bf16 — from [`Comfy-Org/Lens`](https://huggingface.co/Comfy-Org/Lens) (`diffusion_models/lens_turbo_bf16.safetensors`) | MIT        |
| `text_encoder/`  | gpt-oss-20b (MXFP4), used encoder-only — from [`openai/gpt-oss-20b`](https://huggingface.co/openai/gpt-oss-20b) | Apache-2.0 |
| `tokenizer/`     | gpt-oss tokenizer — from [`openai/gpt-oss-20b`](https://huggingface.co/openai/gpt-oss-20b) | Apache-2.0 |
| `vae/`           | FLUX.2 VAE (`AutoencoderKLFlux2`) — from [`black-forest-labs/FLUX.2-dev`](https://huggingface.co/black-forest-labs/FLUX.2-dev) | FLUX.2-dev license |

The text encoder is stock, frozen `gpt-oss-20b` and the VAE is stock FLUX.2-dev; only the
`transformer/` DiT is Lens-specific. The encoder + VAE are identical to those in `SceneWorks/Lens` —
only the distilled `transformer/` differs.

## Layout

```
tokenizer/       tokenizer.json, tokenizer_config.json, special_tokens_map.json
text_encoder/    model-0000*-of-00002.safetensors (MXFP4), model.safetensors.index.json, config.json
transformer/     lens_turbo_bf16.safetensors
vae/             diffusion_pytorch_model.safetensors, config.json
```

Sampling defaults for the distilled model: **4 steps, guidance 1.0** (≈ no CFG).