From 70dbef68426f25bddfdb154af0d3b43910b6bae5 Mon Sep 17 00:00:00 2001 From: Adam Date: Sat, 30 Aug 2025 03:22:31 -0700 Subject: [PATCH] Add example and fix name. --- README.md | 9 ++++++--- __init__.py | 2 +- .../OrpheusTTSLMStudioExample.json | 1 + example_workflows/OrpheusTTSLMStudioExample.png | Bin 0 -> 97059 bytes ...s_lmstudio_tts.py => orpheustts_lmstudio.py} | 12 +++++++----- node_list.json | 2 +- pyproject.toml | 8 ++++---- 7 files changed, 20 insertions(+), 14 deletions(-) create mode 100644 example_workflows/OrpheusTTSLMStudioExample.json create mode 100644 example_workflows/OrpheusTTSLMStudioExample.png rename node/{orpheus_lmstudio_tts.py => orpheustts_lmstudio.py} (98%) diff --git a/README.md b/README.md index 75d1be6..7ce67ca 100644 --- a/README.md +++ b/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):** diff --git a/__init__.py b/__init__.py index 8eb525e..7b1baaf 100644 --- a/__init__.py +++ b/__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"] diff --git a/example_workflows/OrpheusTTSLMStudioExample.json b/example_workflows/OrpheusTTSLMStudioExample.json new file mode 100644 index 0000000..49834aa --- /dev/null +++ b/example_workflows/OrpheusTTSLMStudioExample.json @@ -0,0 +1 @@ +{"id":"5568a751-0850-4c34-99b6-ebc18de74bee","revision":0,"last_node_id":139,"last_link_id":204,"nodes":[{"id":75,"type":"SetNode","pos":[-1554.4298095703125,590.0590209960938],"size":[210,60],"flags":{"collapsed":true},"order":14,"mode":0,"inputs":[{"name":"FLOAT","type":"FLOAT","link":132}],"outputs":[{"name":"*","type":"*","links":null}],"title":"Set_seconds","properties":{"previousName":"seconds","ue_properties":{"version":"7.0.1","widget_ue_connectable":{}}},"widgets_values":["seconds"],"color":"#232","bgcolor":"#353"},{"id":81,"type":"SetNode","pos":[-1572.8175048828125,970.439208984375],"size":[210,60],"flags":{"collapsed":true},"order":20,"mode":0,"inputs":[{"name":"STRING","type":"STRING","link":186}],"outputs":[{"name":"*","type":"*","links":null}],"title":"Set_promptForLLM","properties":{"previousName":"promptForLLM","ue_properties":{"version":"7.0.1","widget_ue_connectable":{}}},"widgets_values":["promptForLLM"]},{"id":96,"type":"Note","pos":[-2250.4619140625,613.6654052734375],"size":[350.830322265625,88.49740600585938],"flags":{},"order":0,"mode":0,"inputs":[],"outputs":[],"properties":{"ue_properties":{"version":"7.0.1","widget_ue_connectable":{}}},"widgets_values":["For LLM \"Enable LLM Prompting\" and \"USE LLM\" must both be set to true."],"color":"#432","bgcolor":"#653"},{"id":99,"type":"SetNode","pos":[-1533.1541748046875,403.4300231933594],"size":[210,60],"flags":{"collapsed":true},"order":22,"mode":0,"inputs":[{"name":"INT","type":"INT","link":153}],"outputs":[{"name":"*","type":"*","links":null}],"title":"Set_seed","properties":{"previousName":"seed","ue_properties":{"version":"7.0.1","widget_ue_connectable":{}}},"widgets_values":["seed"],"color":"#1b4669","bgcolor":"#29699c"},{"id":74,"type":"FloatConstant","pos":[-1816.1380615234375,560.3070068359375],"size":[210,58],"flags":{},"order":1,"mode":0,"inputs":[{"localized_name":"value","name":"value","type":"FLOAT","widget":{"name":"value"},"link":null}],"outputs":[{"localized_name":"value","name":"value","type":"FLOAT","slot_index":0,"links":[132]}],"title":"Length in Seconds","properties":{"cnr_id":"comfyui-kjnodes","ver":"0addfc6101f7a834c7fb6e0a1b26529360ab5350","Node name for S&R":"FloatConstant","ue_properties":{"version":"7.0.1","widget_ue_connectable":{"value":true}}},"widgets_values":[120.00000000000003],"color":"#232","bgcolor":"#353"},{"id":92,"type":"GetNode","pos":[-929.2032470703125,382.5810546875],"size":[210,60],"flags":{},"order":2,"mode":0,"inputs":[],"outputs":[{"name":"AUDIO","type":"AUDIO","links":[146,147]}],"title":"Get_results","properties":{"ue_properties":{"version":"7.0.1","widget_ue_connectable":{}}},"widgets_values":["results"]},{"id":57,"type":"GetNode","pos":[109.94898986816406,576.4002685546875],"size":[241.0567169189453,77.5213623046875],"flags":{"collapsed":true},"order":3,"mode":2,"inputs":[],"outputs":[{"name":"STRING","type":"STRING","links":[118]}],"title":"Get_promptForLLM","properties":{"ue_properties":{"version":"7.0.1","widget_ue_connectable":{}}},"widgets_values":["promptForLLM"]},{"id":52,"type":"SetNode","pos":[-179.1215057373047,269.2598571777344],"size":[210,58],"flags":{"collapsed":true},"order":17,"mode":2,"inputs":[{"name":"STRING","type":"STRING","link":117}],"outputs":[{"name":"*","type":"*","links":[]}],"title":"Set_LLM_SystemPrompt","properties":{"previousName":"","ue_properties":{"version":"7.0.1","widget_ue_connectable":{}}},"widgets_values":["LLM_SystemPrompt"]},{"id":54,"type":"Note","pos":[111.41651916503906,369.71575927734375],"size":[281.55120849609375,125.26969909667969],"flags":{},"order":4,"mode":2,"inputs":[],"outputs":[],"properties":{"ue_properties":{"version":"7.0.1","widget_ue_connectable":{}}},"widgets_values":["Use any kind of LLM node for prompt enhancement.\n\nOnly LMStudio is built into the flow. 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