Document turbo (4-step) mode

README.md

@@ -65,6 +65,22 @@ Every sampling control of the original Space is a reference node wired into the
 | Max text length | **Max Text Length** reference (1–4096) |
 | Skip-layer modes (Off / Negative-branch skipping / Standard SLG) | **Skip Layers** (`22` = negative-branch skipping, empty = off), **SLG Layers**, **SLG Scale**, **Skip Start**, **Skip Stop** references |
 | Example gallery with one-click restore | **Examples strip** under the hero: the original Space's 20 showcase images, hot-linked; clicking one fetches its `parameters.json` and restores prompt, model, size, sampling and SLG settings into the form |
+| — | **Turbo mode**: set **Model** to `turbo` for the 4-step distilled LoRA (see below) |
+
+## Turbo (4-step) mode
+
+Set the **Model** field to `turbo` to run the 4-step distilled LoRA from
+[akhaliq/MOSS-Image-SFT-4-steps](https://huggingface.co/akhaliq/MOSS-Image-SFT-4-steps)
+(distilled via data-space/Euler-native DMD, [arXiv:2610.12102](https://arxiv.org/abs/2610.12102))
+— roughly 10x faster per image than the 50-step sampler.
+
+- The fp32 LoRA is wrapped on the SFT transformer at startup, unmerged
+  (`turbo_lora.py`, vendored from the model repo), and toggled per request by its
+  alpha — so Base and SFT generations are unchanged, and no third transformer is
+  loaded into GPU memory.
+- Turbo always runs at **CFG 1**; the negative prompt is ignored.
+- Left at the default 50, Steps auto-maps by resolution per the model card:
+  **4** up to 1024px, **6** at ~1536px, **8** at 2048px. Set Steps yourself to override.
 
 Not ported: showcase add/delete with live refresh (the Workflow App view is
 generated from the graph and has no upload-to-gallery mechanism), and ZeroGPU AOT