This is the best open-source text-to-speech project until December 2025.Workflows include single-person and two-person TTS (Text-to-Speech).Should require 10GB of GPU memory.First, install this custom nodes via ComfyUI:<a target="_blank" rel="ugc" href="https://github.com/billwuhao/ComfyUI_IndexTTS">https://github.com/billwuhao/ComfyUI_IndexTTS</a>Then download the models:V2 Model Download: Manually download the models to the specified folder under ComfyUI\models\TTS:<a target="_blank" rel="ugc" href="https://hf-mirror.com/nvidia/bigvgan_v2_22khz_80band_256x/tree/main">https://hf-mirror.com/nvidia/bigvgan_v2_22khz_80band_256x/tree/main</a><a target="_blank" rel="ugc" href="https://hf-mirror.com/funasr/campplus/tree/main">https://hf-mirror.com/funasr/campplus/tree/main</a><a target="_blank" rel="ugc" href="https://hf-mirror.com/IndexTeam/IndexTTS-2/tree/main">https://hf-mirror.com/IndexTeam/IndexTTS-2/tree/main</a><a target="_blank" rel="ugc" href="https://hf-mirror.com/amphion/MaskGCT/tree/main/semantic_codec">https://hf-mirror.com/amphion/MaskGCT/tree/main/semantic_codec</a><a target="_blank" rel="ugc" href="https://hf-mirror.com/facebook/w2v-bert-2.0/tree/main">https://hf-mirror.com/facebook/w2v-bert-2.0/tree/main</a>- bigvgan_v2_22khz_80band_256x bigvgan_generator.ptconfig.json-camppluscampplus_cn_common.bin- IndexTTS-2│ .gitattributes│ bpe.model│ config.yaml│ feat1.pt│ feat2.pt│ gpt.pth│ README.md│ s2mel.pth│ wav2vec2bert_stats.pt│└─ qwen0.6bemo4-mergeadded_tokens.jsonchat_template.jinjaconfig.jsongeneration_config.jsonmerges.txtmodel.safetensorsModelfilespecial_tokens_map.jsontokenizer.jsontokenizer_config.jsonvocab.json-MaskGCTsemantic_codecmodel.safetensors-w2v-bert-2.0.gitattributesconfig.jsonconformer_shaw.pt model.safetensorspreprocessor_config.json<a target="_blank" rel="ugc" href="http://README.md">README.md</a><hr />Please note that Windows users may need to install wheels, such as Triton and SageAttention.If your ComfyUI prompts you to install them,you can: Install Triton by running the following command:<code>pip install -U "triton-windows&lt;3.6"</code>Install SageAttention by going to <a target="_blank" rel="ugc" href="https://github.com/woct0rdho/SageAttention/releases">https://github.com/woct0rdho/SageAttention/releases</a> Find the wheel that matches your Torch and CUDA versions and run, for example, the following command:<code>pip install sageattention-2.2.0+cu130torch2.9.0andhigher.post4-cp39-abi3-win_amd64.whl</code><code>other:</code># 1. First, install pynini using conda (pre-compiled version, to avoid compilation issues on Windows).<pre><code>conda install -c conda-forge pynini -y</code></pre># 2. <pre><code>pip install WeTextProcessing --no-deps</code></pre>

Index-tts2 single or two person

This is the best open-source text-to-speech project until December 2025.Workflows include single-person and two-person TTS (Text-to-Speech).First, install this custom nodes via ComfyUI:<a target="_blank" rel="ugc" href="https://github.com/billwuhao/ComfyUI_IndexTTS">https://github.com/billwuhao/ComfyUI_IndexTTS</a>Then download the models:V2 Model Download: Manually download the models to the specified folder under ComfyUI\models\TTS:<a target="_blank" rel="ugc" href="https://hf-mirror.com/nvidia/bigvgan_v2_22khz_80band_256x/tree/main">https://hf-mirror.com/nvidia/bigvgan_v2_22khz_80band_256x/tree/main</a><a target="_blank" rel="ugc" href="https://hf-mirror.com/funasr/campplus/tree/main">https://hf-mirror.com/funasr/campplus/tree/main</a><a target="_blank" rel="ugc" href="https://hf-mirror.com/IndexTeam/IndexTTS-2/tree/main">https://hf-mirror.com/IndexTeam/IndexTTS-2/tree/main</a><a target="_blank" rel="ugc" href="https://hf-mirror.com/amphion/MaskGCT/tree/main/semantic_codec">https://hf-mirror.com/amphion/MaskGCT/tree/main/semantic_codec</a><a target="_blank" rel="ugc" href="https://hf-mirror.com/facebook/w2v-bert-2.0/tree/main">https://hf-mirror.com/facebook/w2v-bert-2.0/tree/main</a>- bigvgan_v2_22khz_80band_256x bigvgan_generator.pt config.json-campplus campplus_cn_common.bin- IndexTTS-2│ .gitattributes│ bpe.model│ config.yaml│ feat1.pt│ feat2.pt│ gpt.pth│ README.md│ s2mel.pth│ wav2vec2bert_stats.pt│└─ qwen0.6bemo4-merge added_tokens.json chat_template.jinja config.json generation_config.json merges.txt model.safetensors Modelfile special_tokens_map.json tokenizer.json tokenizer_config.json vocab.json-MaskGCT semantic_codec model.safetensors-w2v-bert-2.0 .gitattributes config.json conformer_shaw.pt model.safetensors preprocessor_config.json <a target="_blank" rel="ugc" href="http://README.md">README.md</a>Please note that Windows users may need to install wheels, such as Triton and SageAttention. If your ComfyUI prompts you to install them, you can: Install Triton by running the following command: <code>pip install -U "triton-windows&lt;3.6"</code> Install SageAttention by going to <a target="_blank" rel="ugc" href="https://github.com/woct0rdho/SageAttention/releases">https://github.com/woct0rdho/SageAttention/releases</a> Find the wheel that matches your Torch and CUDA versions and run, for example, the following command: <code>pip install sageattention-2.2.0+cu130torch2.9.0andhigher.post4-cp39-abi3-win_amd64.whl</code>

Files with SHA256: 3e438c397c0efdb4c163a40ad22688e1b1e492c68ed602ec5364ab684657ee53