File size: 2,034 Bytes
33acd26 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 | ---
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).
|