Add example and fix name.

README.md

@@ -5,6 +5,9 @@ A custom node for ComfyUI that generates high-quality, natural-sounding speech u
 I tried all the other Orpheus nodes for ComfyUI, and they were either slow (2+min for 15s), or I couldn't get them to install right.  Unlike those, this doesn't try to run the LLM model with all the different settings via some cli thing, I just rely on LM Studio where you can handle all the loading there.  I got this to be as fast as I could, about 0.5x realtime on a RTX3090.  Voices sound so good.
 
 
+![Workflow Diagram](./example_workflows/OrpheusTTSLMStudioExample.png)
+
+
 And now for your regularly scheduled LLM generated readme:
 
 This node is designed for performance and user experience, featuring a highly-responsive, parallelized workflow. It streams audio tokens from LM Studio while decoding them into sound in a separate thread, ensuring your ComfyUI interface remains smooth. The state-of-the-art progress bar intelligently displays the real-time progress of the entire operation, not just one part of it.
@@ -36,12 +39,12 @@ This node is designed for performance and user experience, featuring a highly-re
     ```
 2.  Clone this repository:
     ```bash
-    git clone https://github.com/phazei/ComfyUI-Orpheus-LMStudio.git
+    git clone https://github.com/phazei/ComfyUI-OrpheusTTS-LMStudio.git
     ```
     *(Note: Replace the URL with your actual repository URL after publishing.)*
 3.  Install the required Python packages:
     ```bash
-    cd ComfyUI-Orpheus-LMStudio 
+    cd ComfyUI-OrpheusTTS-LMStudio 
     pip install -r requirements.txt
     ```
     *(You should create a `requirements.txt` file in your repo with the following content:)*
@@ -63,7 +66,7 @@ This node is designed for performance and user experience, featuring a highly-re
 
 ### 2. In ComfyUI
 
-1.  **Add the Node:** Right-click on your graph, select "Add Node," and find the **Orpheus/LM Studio > Orpheus TTS (LM Studio)** node.
+1.  **Add the Node:** Right-click on your graph, select "Add Node," and find the **OrpheusTTS/LM Studio > Orpheus TTS (LM Studio)** node.
 2.  **Enter Your Text:** Type the text you want to convert to speech in the `text` field.
 3.  **Select a Voice:** Choose one of the built-in English voices from the `voice` dropdown.
 4.  **Set the Model Key (Optional but Recommended):**

__init__.py

@@ -1,3 +1,3 @@
-from .node.orpheus_lmstudio_tts import NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS
+from .node.orpheustts_lmstudio import NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS
 
 __all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS"]

node/orpheustts_lmstudio.py

@@ -88,7 +88,7 @@ class SlidingRate:
 
 # --- Node ---------------------------------------------------------------------
 
-class OrpheusLMStudioTTS:
+class OrpheusTTSLMStudio:
     """
     Streaming LM Studio with parallel SNAC decoding and a single progress bar
     that reflects the critical path (max of LLM vs SNAC). Detailed logs kept.
@@ -495,8 +495,10 @@ class OrpheusLMStudioTTS:
         if debug:
             avg_wait = (total_wait_time / llm_frag_count) if llm_frag_count else 0.0
             avg_proc = (total_proc_time / llm_frag_count) if llm_frag_count else 0.0
-            p50_wait = _pct(wait_samples, 50); p95_wait = _pct(wait_samples, 95)
-            p50_proc = _pct(proc_samples, 50); p95_proc = _pct(proc_samples, 95)
+            p50_wait = _pct(wait_samples, 50)
+            p95_wait = _pct(wait_samples, 95)
+            p50_proc = _pct(proc_samples, 50)
+            p95_proc = _pct(proc_samples, 95)
 
             print("--- LLM Stream Granular ---")
             print(f"  TTFF (loop):            {first_fragment_rel or 0.0:.4f}s")
@@ -519,5 +521,5 @@ class OrpheusLMStudioTTS:
         return (audio,)
 
 # Comfy registration
-NODE_CLASS_MAPPINGS = {"OrpheusLMStudioTTS": OrpheusLMStudioTTS}
-NODE_DISPLAY_NAME_MAPPINGS = {"OrpheusLMStudioTTS": "Orpheus TTS (LM Studio)"}
+NODE_CLASS_MAPPINGS = {"OrpheusTTSLMStudio": OrpheusTTSLMStudio}
+NODE_DISPLAY_NAME_MAPPINGS = {"OrpheusTTSLMStudio": "Orpheus TTS (LM Studio)"}

node_list.json

@@ -1,3 +1,3 @@
 {
-    "OrpheusLMStudioTTS": "Generate Orpheus TTS audio via LM Studio"
+    "OrpheusTTSLMStudio": "Generate Orpheus TTS audio via LM Studio"
 }

pyproject.toml

@@ -1,14 +1,14 @@
 [project]
-name = "ComfyUI-Orpheus-LMStudio"
+name = "ComfyUI-OrpheusTTS-LMStudio"
 description = "Generate Orpheus TTS audio via LM Studio"
-version = "1.0.0"
+version = "1.0.1"
 license = {file = "LICENSE"}
 
 [project.urls]
-Repository = "https://github.com/phazei/ComfyUI-Orpheus-LMStudio"
+Repository = "https://github.com/phazei/ComfyUI-OrpheusTTS-LMStudio"
 #  Used by Comfy Registry https://comfyregistry.org
 
 [tool.comfy]
 PublisherId = "phazei"
-DisplayName = "ComfyUI-Orpheus-LMStudio"
+DisplayName = "ComfyUI-OrpheusTTS-LMStudio"
 Icon = ""