card: note distilled model

README.md

@@ -1,28 +1,28 @@
----
-title: "LTX-Best-Face-ID"
-emoji: 🎬
-colorFrom: purple
-colorTo: pink
-sdk: gradio
-sdk_version: 6.15.1
-app_file: app.py
-short_description: "Identity-preserving video generation from a reference photo"
-python_version: "3.12"
-startup_duration_timeout: 1h
----
-
-# LTX-Best-Face-ID
-
-Identity-preserving video generation from a reference photo using **LTX-2** with the **LTX-Best-Face-ID** LoRA.
-
-Upload a close-up frontal photo of a person, describe the scene, and get a short video that maintains their identity across frames.
-
-## How it works
-
-This demo uses the [Alissonerdx/LTX-Best-Face-ID](https://huggingface.co/Alissonerdx/LTX-Best-Face-ID) LoRA on top of the [LTX-2](https://huggingface.co/Lightricks/LTX-2) base model. Identity is injected through **overlap reference conditioning** with **TASS-RoPE** (source-phase RoPE), replicating the ComfyUI BFSNodes logic in a diffusers-style pipeline.
-
-## Tips for best results
-
-- Use a **clean, frontal, well-lit close-up** as the reference
-- Let the **Prompt Enhancer** add identity attributes automatically
+---
+title: "LTX-Best-Face-ID"
+emoji: 🎬
+colorFrom: purple
+colorTo: pink
+sdk: gradio
+sdk_version: 6.15.1
+app_file: app.py
+short_description: "Distilled LTX-2.3 identity video from a reference photo"
+python_version: "3.12"
+startup_duration_timeout: 1h
+---
+
+# LTX-Best-Face-ID
+
+Identity-preserving video generation from a reference photo using **LTX-2** with the **LTX-Best-Face-ID** LoRA.
+
+Upload a close-up frontal photo of a person, describe the scene, and get a short video that maintains their identity across frames.
+
+## How it works
+
+This demo uses the [Alissonerdx/LTX-Best-Face-ID](https://huggingface.co/Alissonerdx/LTX-Best-Face-ID) LoRA on top of the [LTX-2](https://huggingface.co/Lightricks/LTX-2) base model. Identity is injected through **overlap reference conditioning** with **TASS-RoPE** (source-phase RoPE), replicating the ComfyUI BFSNodes logic in a diffusers-style pipeline.
+
+## Tips for best results
+
+- Use a **clean, frontal, well-lit close-up** as the reference
+- Let the **Prompt Enhancer** add identity attributes automatically
 - Prompts are automatically prefixed with `ref_t2v:` for the model