| --- |
| license: mit |
| library_name: diffusers |
| pipeline_tag: text-to-image |
| tags: |
| - text-to-image |
| - lens |
| - flux |
| - gpt-oss |
| --- |
| |
| # Lens (base) |
|
|
| Self-contained diffusers-layout snapshot of Microsoft's **Lens** text-to-image model, re-assembled for |
| in-house (SceneWorks) use after Microsoft removed the original `microsoft/Lens` 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 DiT, bf16 — from [`Comfy-Org/Lens`](https://huggingface.co/Comfy-Org/Lens) (`diffusion_models/lens_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 Lens text encoder is stock, frozen `gpt-oss-20b` (tensor-verified identical to Comfy's |
| `gpt_oss_20b_nvfp4` up to quantization), and the VAE is stock FLUX.2-dev (full-file identical to |
| Comfy's `flux2-vae`). Only the `transformer/` DiT is Lens-specific. |
|
|
| ## 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_bf16.safetensors |
| vae/ diffusion_pytorch_model.safetensors, config.json |
| ``` |
|
|
| Sampling defaults for the base model: **20 steps, guidance 5.0**. For the distilled variant see |
| `SceneWorks/Lens-Turbo` (4 steps, guidance 1.0). |
|
|
