Integrate Higgs v3 TTS into ComfyUI for multilingual speech synthesis, zero-shot voice cloning, emotional control, and dialogue generation.
2
stars
29
commits
Python
primary language
Sep 11, 2026
updated
Higgs_v3-TTS-ComfyUI lets you generate speech from text within the ComfyUI workspace. This tool supports 100 languages and creates realistic voices. You can clone voices, add emotions, and include sound effects using simple text tags. The system manages memory so you can generate long audio files without errors.
You need a computer that meets these specs to run the software.
Follow these steps to add these tools to your ComfyUI workspace.
Source code (zip) file from the latest release list./ComfyUI/custom_nodes/ directory.This tool introduces several custom nodes to your interface. Each node handles a specific part of the speech creation process.
Use this node to load the voice model. It selects the specific language and voice profile you want to use. You must connect this to the main generator block.
This acts as the core engine. Input your text here. You can include tags to change how the voice sounds. For example, use tags like [angry] or [whisper] inside your bracketed text to adjust emotion.
This node keeps your computer from overheating or running out of memory. It processes long text blocks in sections. Keep this node connected if you generate long dialogue or stories.
Follow this workflow to create your first audio file.
Wait for the process bar to finish. Your audio will appear in the playback window once completed.
You can copy a specific voice from an audio file.
Keep your source audio clear and loud for the best results. Background noise often makes the clone sound grainy.
Generating long dialogue takes more memory than a single sentence. Use the Chunking settings to split your text.
If you get a memory error, reduce the chunk size. This forces the system to process less data in each step.
Most errors happen because of your graphics card. If the process stops mid-way, check these items.
This environment provides complete control over your audio projects. Start with short sentences and add complexity as you learn how the tags change the output.
17 commits
12 commits
Python
97.6%
Jinja
2.4%
Integrate Higgs v3 TTS into ComfyUI for multilingual speech synthesis, zero-shot voice cloning, emotional control, and dialogue generation.
2
stars
29
commits
Python
primary language
Sep 11, 2026
updated
Higgs_v3-TTS-ComfyUI lets you generate speech from text within the ComfyUI workspace. This tool supports 100 languages and creates realistic voices. You can clone voices, add emotions, and include sound effects using simple text tags. The system manages memory so you can generate long audio files without errors.
You need a computer that meets these specs to run the software.
Follow these steps to add these tools to your ComfyUI workspace.
Source code (zip) file from the latest release list./ComfyUI/custom_nodes/ directory.This tool introduces several custom nodes to your interface. Each node handles a specific part of the speech creation process.
Use this node to load the voice model. It selects the specific language and voice profile you want to use. You must connect this to the main generator block.
This acts as the core engine. Input your text here. You can include tags to change how the voice sounds. For example, use tags like [angry] or [whisper] inside your bracketed text to adjust emotion.
This node keeps your computer from overheating or running out of memory. It processes long text blocks in sections. Keep this node connected if you generate long dialogue or stories.
Follow this workflow to create your first audio file.
Wait for the process bar to finish. Your audio will appear in the playback window once completed.
You can copy a specific voice from an audio file.
Keep your source audio clear and loud for the best results. Background noise often makes the clone sound grainy.
Generating long dialogue takes more memory than a single sentence. Use the Chunking settings to split your text.
If you get a memory error, reduce the chunk size. This forces the system to process less data in each step.
Most errors happen because of your graphics card. If the process stops mid-way, check these items.
This environment provides complete control over your audio projects. Start with short sentences and add complexity as you learn how the tags change the output.
17 commits
12 commits
Python
97.6%
Jinja
2.4%