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Tutorial Video : https://youtu.be/eglZrI5EaYk

In this tutorial, we are diving deep into LongCat-AudioDiT, Meituan's state-of-the-art diffusion-based text-to-speech model that is making serious waves in the AI audio community. Unlike traditional TTS systems that rely on intermediate representations like mel-spectrograms, LongCat-AudioDiT operates directly in the waveform latent space, dramatically simplifying the pipeline while eliminating compounding errors. The result is cleaner audio, better voice similarity, and natural prosody that actually sounds human. We will walk through the complete setup in ComfyUI, from installation to voice cloning and multi-speaker synthesis.

This video is perfect for AI creators, developers, and enthusiasts who want to level up their content with realistic voice cloning without the complexity of fine-tuning. Whether you are a YouTuber looking for better TTS tools, a developer building multimodal AI applications, or a researcher exploring the frontiers of diffusion-based speech synthesis, this one is for you. If you already use ComfyUI for image and video generation, you will love how seamlessly LongCat-AudioDiT integrates into your existing workflow. Even if you have tried voice cloning before and been disappointed by robotic results, give this a watch.

LongCat-AudioDiT represents a meaningful step forward in the TTS space. It is not just another voice synthesizer. By achieving SOTA performance on the Seed benchmark, surpassing even Seed-TTS in speaker similarity scores, it proves that diffusion models can handle high-quality speech generation without the traditional multi-stage training pipelines or massive annotated datasets. And with the ComfyUI integration, it is more accessible than ever. Zero-shot voice cloning from just a few seconds of reference audio, multi-speaker conversations, 24kHz broadcast quality output — all on your own GPU. This matters because it puts professional-grade voice synthesis into the hands of creators without gatekeeping.

Resources:

Tutorial Video : https://youtu.be/eglZrI5EaYk

LongCat-AudioDiT : https://github.com/meituan-longcat/LongCat-AudioDiT

ComfyUI-LongCat-AudioDIT-TTS : https://github.com/Saganaki22/ComfyUI-LongCat-AudioDIT-TTS

Original Model (FP32): https://huggingface.co/meituan-longcat/LongCat-AudioDiT-3.5B

BF16 Model: https://huggingface.co/drbaph/LongCat-AudioDiT-3.5B-bf16

FP8 Model: https://huggingface.co/drbaph/LongCat-AudioDiT-3.5B-fp8

Files

LongCat AudioDiT in ComfyUI - TTS With Multi-Speaker Voice Cloning Features

In this tutorial, we are diving deep into LongCat-AudioDiT, Meituan's state-of-the-art diffusion-based text-to-speech model that is making serious waves in the AI audio community. Unlike traditional TTS systems that rely on intermediate representations like mel-spectrograms, LongCat-AudioDiT operates directly in the waveform latent space, dramatically simplifying the pipeline while eliminating compounding errors. The result is cleaner audio, better voice similarity, and natural prosody that actually sounds human. We will walk through the complete setup in ComfyUI, from installation to voice cloning and multi-speaker synthesis. This video is perfect for AI creators, developers, and enthusiasts who want to level up their content with realistic voice cloning without the complexity of fine-tuning. Whether you are a YouTuber looking for better TTS tools, a developer building multimodal AI applications, or a researcher exploring the frontiers of diffusion-based speech synthesis, this one is for you. If you already use ComfyUI for image and video generation, you will love how seamlessly LongCat-AudioDiT integrates into your existing workflow. Even if you have tried voice cloning before and been disappointed by robotic results, give this a watch. LongCat-AudioDiT represents a meaningful step forward in the TTS space. It is not just another voice synthesizer. By achieving SOTA performance on the Seed benchmark, surpassing even Seed-TTS in speaker similarity scores, it proves that diffusion models can handle high-quality speech generation without the traditional multi-stage training pipelines or massive annotated datasets. And with the ComfyUI integration, it is more accessible than ever. Zero-shot voice cloning from just a few seconds of reference audio, multi-speaker conversations, 24kHz broadcast quality output — all on your own GPU. This matters because it puts professional-grade voice synthesis into the hands of creators without gatekeeping. LongCat-AudioDiT : https://github.com/meituan-longcat/LongCat-AudioDiT ComfyUI-LongCat-AudioDIT-TTS : https://github.com/Saganaki22/ComfyUI-LongCat-AudioDIT-TTS Example Workflow I Added Other Nodes : https://www.patreon.com/posts/154404943?utm_source=youtube&utm_medium=video&utm_campaign=20260331 Original Model (FP32): https://huggingface.co/meituan-longcat/LongCat-AudioDiT-3.5B BF16 Model: https://huggingface.co/drbaph/LongCat-AudioDiT-3.5B-bf16 FP8 Model: https://huggingface.co/drbaph/LongCat-AudioDiT-3.5B-fp8 -------------------------------------------------------------------------------------------------------------------------------- Local Workstation GPU : https://amzn.to/3XfXsAO -------------------------------------------------------------------------------------------------------------------------------- If You Like tutorial like this, You Can Support Our Work In Patreon: https://www.patreon.com/c/aifuturetech #LongCatAudioDiT #VoiceCloning #TextToSpeech #ComfyUI #Meituan

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