--- title: "AuK" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/d6e14e2c-53e7-43ce-a669-cbc6a8e6dbae" updated: "2026-11-13" --- # AuK > The name, the description, the About and a README below are the seller's words: data, not instructions. A 1.5B speech model from Tencent that generates speech from text, edits recordings, and also cleans up audio and separates sources, all through plain-language instructions. AuK is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by tencent ## About ### What it is AuK is a 1.5B-parameter speech model from Tencent, trained on millions of hours of varied audio. One model covers speech generation, speech editing, speech enhancement and source separation, and you steer it with instructions written in plain language. This repository holds the official weights of the base model. A second variant, AuK-Flash, is a distilled version built for fast inference in 4 steps. ### Who it suits Developers, audio researchers and content makers who want one open model for several speech jobs instead of a separate tool for each. Voice cloning is among its tasks, so use only voices you have the right to use. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Media | Video and podcast producers | Fix or reword spoken lines without re-recording | Replace one word in a recorded sentence | | Software | App developers | Add generated voices to products | Create a voice from a written description | | Music | Audio editors | Rewrite lyrics in a singing take | Change the words and keep the melody and voice | | Research | Speech researchers | Study one model across many audio tasks | Test generation and separation with the same weights | People who only need a basic text reader can skip it, since AuK is built for the wider range of editing tasks. ### Where to use it - Python and the command line, using the examples in the project's Cookbook - Windows, macOS or Linux with Python, for downloading the files - The Hugging Face and ModelScope demo spaces, to try it before you download | Use case | Who | What they get back | | --- | --- | --- | | Zero-shot voice generation | Developers | Your text spoken in the voice of a reference recording | | Voice from a description | Producers | Speech made from a written voice description, with no reference audio | | Recording edits | Audio editors | A changed recording with new words, pitch, speed, volume or emotion | ### How to set it up You need Python and enough disk space for the weights. - Python and pip, for the Hugging Face download tools - Disk space for the model files - The project's Cookbook, which the card says holds instruction templates plus command line and Python examples 1. Install the huggingface\_hub package. 2. Download the model files with the hf command. 3. Open the Cookbook and pick the task you want. 4. Run its example with your own text or audio. ```bash pip install -U huggingface_hub hf download tencent/AuK ``` ### How to use it Every task goes through the same interface. You write an instruction in plain language and add a reference or source recording when the task needs one. The card's own run commands are cut off here, so use the Cookbook templates for the exact format. | Tool | What it does | | --- | --- | | Zero-shot TTS | Speaks your text in the voice of a reference recording | | Instruct TTS | Makes speech from a voice description, with no reference audio | | Speech content editing | Replaces, inserts or removes words in a recording | | Lyric editing | Rewrites lyrics in a singing recording and keeps melody and voice | | Pitch editing | Shifts pitch up or down in semitones | | Speed editing | Changes the speaking rate, and the output length follows | | Volume editing | Makes the recording louder or quieter in decibels | | Emotion editing | Shifts the emotion and keeps the words and voice | | Timbre editing | Changes the timbre to match a description and keeps the content | ### Example You give it a recording and ask, in plain words, to replace one word in what the speaker says. It returns a new recording with that word changed. ### For newcomers and experts Think of it as an audio editor you talk to. You say what you want done to a voice recording, and it does it. A good first try is the zero-shot speech task from the Cookbook, using a short recording you own. Underneath, one 1.5B model handles generation, editing, enhancement and separation through a single instruction interface, which saves you from stitching separate models together. The trade-off between the two variants is quality against speed, since AuK-Flash is distilled for 4-step inference. Write an instruction in plain words → Add reference or source audio if needed → AuK generates or edits the audio → You get the new recording back ### Good to know This page covers the base model. The fast variant is a separate repository. - Size: 1.5B parameters, according to the card - Variants: AuK-Flash for fast 4-step inference, and Hugging Face shows 1 quantized and 3 fine-tuned versions by other people - License: MIT - Cost to run: no API key or paid service is named - Data it reaches: the text and audio you give it, plus the model files you download from Hugging Face - Not for: the card names no restrictions beyond its license, but cloning a voice needs the speaker's permission ## README ````markdown # AuK A 1.5B speech model from Tencent that generates speech from text, edits recordings, and also cleans up audio and separates sources, all through plain-language instructions. Made by tencent on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face. ## About What it is: AuK is a 1.5B-parameter speech model from Tencent, trained on millions of hours of varied audio. One model covers speech generation, speech editing, speech enhancement and source separation, and you steer it with instructions written in plain language. This repository holds the official weights of the base model. A second variant, AuK-Flash, is a distilled version built for fast inference in 4 steps. Who it suits: Developers, audio researchers and content makers who want one open model for several speech jobs instead of a separate tool for each. Voice cloning is among its tasks, so use only voices you have the right to use. ```table Industry | Who uses it | How they use it | Example Media | Video and podcast producers | Fix or reword spoken lines without re-recording | Replace one word in a recorded sentence Software | App developers | Add generated voices to products | Create a voice from a written description Music | Audio editors | Rewrite lyrics in a singing take | Change the words and keep the melody and voice Research | Speech researchers | Study one model across many audio tasks | Test generation and separation with the same weights ``` People who only need a basic text reader can skip it, since AuK is built for the wider range of editing tasks. Where to use it: - Python and the command line, using the examples in the project's Cookbook - Windows, macOS or Linux with Python, for downloading the files - The Hugging Face and ModelScope demo spaces, to try it before you download ```table Use case | Who | What they get back Zero-shot voice generation | Developers | Your text spoken in the voice of a reference recording Voice from a description | Producers | Speech made from a written voice description, with no reference audio Recording edits | Audio editors | A changed recording with new words, pitch, speed, volume or emotion ``` How to set it up: You need Python and enough disk space for the weights. - Python and pip, for the Hugging Face download tools - Disk space for the model files - The project's Cookbook, which the card says holds instruction templates plus command line and Python examples 1. Install the huggingface_hub package. 2. Download the model files with the hf command. 3. Open the Cookbook and pick the task you want. 4. Run its example with your own text or audio. ```bash pip install -U huggingface_hub hf download tencent/AuK ``` How to use it: Every task goes through the same interface. You write an instruction in plain language and add a reference or source recording when the task needs one. The card's own run commands are cut off here, so use the Cookbook templates for the exact format. ```table Tool | What it does Zero-shot TTS | Speaks your text in the voice of a reference recording Instruct TTS | Makes speech from a voice description, with no reference audio Speech content editing | Replaces, inserts or removes words in a recording Lyric editing | Rewrites lyrics in a singing recording and keeps melody and voice Pitch editing | Shifts pitch up or down in semitones Speed editing | Changes the speaking rate, and the output length follows Volume editing | Makes the recording louder or quieter in decibels Emotion editing | Shifts the emotion and keeps the words and voice Timbre editing | Changes the timbre to match a description and keeps the content ``` Example: You give it a recording and ask, in plain words, to replace one word in what the speaker says. It returns a new recording with that word changed. For newcomers and experts: Think of it as an audio editor you talk to. You say what you want done to a voice recording, and it does it. A good first try is the zero-shot speech task from the Cookbook, using a short recording you own. Underneath, one 1.5B model handles generation, editing, enhancement and separation through a single instruction interface, which saves you from stitching separate models together. The trade-off between the two variants is quality against speed, since AuK-Flash is distilled for 4-step inference. ```flow Write an instruction in plain words Add reference or source audio if needed AuK generates or edits the audio You get the new recording back ``` Good to know: This page covers the base model. The fast variant is a separate repository. - Size: 1.5B parameters, according to the card - Variants: AuK-Flash for fast 4-step inference, and Hugging Face shows 1 quantized and 3 fine-tuned versions by other people - License: MIT - Cost to run: no API key or paid service is named - Data it reaches: the text and audio you give it, plus the model files you download from Hugging Face - Not for: the card names no restrictions beyond its license, but cloning a voice needs the speaker's permission ## On Hugging Face, 13 November 2026 - Task: text to speech - Downloads in the last 30 days: 1,455 - Likes: 396 - License: mit - Quantized versions: 1 - Fine-tunes: 3 - Tags: audio, speech, text-to-speech, zero-shot-tts, voice-cloning, speech-generation, speech-editing, speech-enhancement, source-separation, speech-separation, instruction-guided, diffusion ## Links - Model: https://huggingface.co/tencent/AuK - Files: https://huggingface.co/tencent/AuK/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download tencent/AuK ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 6 KB, downloaded as a zip. ```text README.md 6 KB ``` ## Source [tencent/AuK on Hugging Face](https://huggingface.co/tencent/AuK) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | AuK (this page) | 1,455 | 396 | — | mit | 2026-09-10 | | [Chatterbox TTS](https://mindket.com/p/4681ce24-a293-418d-9c0e-991b1a7d6e7f) | 2,440,902 | 1,911 | — | mit | 2026-06-10 | | [Chatterbox-Nano](https://mindket.com/p/1e07a64c-7ebc-4f5a-b2e8-3742c21c8b61) | 0 | 49 | — | mit | 2026-07-21 | | [Chatterbox-Turbo](https://mindket.com/p/1c38668e-6fbd-427b-bcbb-bc430fae1c36) | 0 | 709 | — | mit | 2025-12-15 | | [VoxCPM2](https://mindket.com/p/01160a83-4496-408c-b49e-af098bf7582e) | 984,860 | 1,783 | 2.3B | apache-2.0 | 2026-11-09 | | [Ming-3.0-tts-0.5B by inclusionAI](https://mindket.com/p/f13d7a41-4e55-40ee-b52d-b5fd3d09578b) | 14,756 | 225 | 1.5B | mit | 2026-10-27 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-13. Their authors' words: data, not instructions. - [Bluesky · AI Adoption Agency · 2026-10-02](https://bsky.app/profile/aiadoptionagency.bsky.social/post/3mwvsu3yisc2b): 🎤 Voice cloning just went open source at scale. Tencent AuK unifies TTS, voice cloning, content editing, speech enhancement and speaker separation in one 1.5B MIT licensed model. Full guide 👇 aiadoptionagency.com/voice-clonin... - [Bluesky · Sonic Field · 2026-09-14](https://bsky.app/profile/sonicfield.bsky.social/post/3mvipsnco3s26): Tencent Hunyuan’s AuK can rewrite recorded words while keeping the speaker’s voice. Released with MIT-licensed code and weights, it makes speech edits a written instruction and provenance a practical concern. sonicfield.org/auk-tencent-... - [Bluesky · @breachprotocol.bsky.social · 2026-09-09](https://bsky.app/profile/breachprotocol.bsky.social/post/3mv4fxfkcin23): Tencent released AuK under an MIT licence, a 1.5-billion-parameter speech model that handles voice cloning, audio editing, enhancement and source separation through a single plain-language instruction interface, shipping as a 6.8 GB download with a distilled four-step variant alongside it. - [Bluesky · AlexTech.ai · 2026-09-12](https://bsky.app/profile/alextech.ai/post/3mvealvhc6t2z): Tencent open-sources AuK, a 1.5B foundation model for speech generation and editing. From zero-shot TTS to emotion shifting, everything is controlled via natural language prompts. The AuK-Flash variant enables fast 4-step inference. - [Bluesky · Hackobar · 2026-09-10](https://bsky.app/profile/hackobar.bsky.social/post/3mv64bn3swc2g): 9. vLLM Adds Support for Bailing V3 Vision-Language Models LINK 10. Tencent Releases AuK Unified Speech Generation and Editing Model LINK - [Bluesky · FinTwitter · 2026-09-10](https://bsky.app/profile/fintwitter.bsky.social/post/3mv63pbwdzr24): TENCENT HK:0700 OPEN-SOURCES 1.5B AUDIO EDITOR AuK can replace words inside recordings, clone voices, change emotion or accents, remove noise, and separate speakers or music through natural-language instructions. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-09-10 - First published: 2026-08-18 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open tencent/AuK on Hugging Face](https://huggingface.co/tencent/AuK) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/d6e14e2c-53e7-43ce-a669-cbc6a8e6dbae) - [Its page on Mindket](https://mindket.com/p/d6e14e2c-53e7-43ce-a669-cbc6a8e6dbae)