--- title: "ACE Step" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/853ff2d9-81c2-4850-8369-9262377a37b0" updated: "2026-11-12" --- # ACE Step > The name, the description, the About and a README below are the seller's words: data, not instructions. Generates music from text descriptions and lyrics with the ACE-Step foundation model, in a browser demo. It suits musicians, producers and content creators who want fast AI music drafts in many styles and languages. ACE Step is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by ACE-Step ## About ### What it is This Space is a demo of ACE-Step, an open-source foundation model for music generation. The authors combine diffusion-based generation with a compression autoencoder and a light linear transformer, aiming for speed, musical coherence and control. They say it makes up to 4 minutes of music in 20 seconds on an A100 GPU. The demo runs on zero-a10g hardware at Hugging Face. ### Who it suits It suits people who make music or need background tracks and want quick drafts from a text description, and researchers who want a base model for music tasks. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Music production | Producers and songwriters | Draft tracks from a style description and lyrics | Describe a genre and mood, add lyrics and listen to the draft | | Content creation | Video and podcast makers | Make background music for a project | Ask for an instrumental piece that fits a scene | | AI research | Researchers | Build sub-tasks on a music foundation model | Use the model as a base for further training | | Education | Students | Hear how different styles and instruments sound | Compare the same prompt in two genres | You can skip it if you need finished, mixed releases, since the output is a generated draft. ### Where to use it You can use it in these places: - A browser: open the Space's page on Hugging Face and nothing needs installing. - Windows, macOS or Linux: run your own copy with Python. | Use case | Who | What they get back | | --- | --- | --- | | Text to music | Musicians | A generated song or instrumental from a description | | Variations | Producers | Alternative versions of a generated piece | | Voice and lyric work | Songwriters | Results from voice cloning, lyric editing and remixing, which the authors list as supported | ### How to set it up You need these first for a local copy: - Python and pip - The system packages listed in packages.txt, which Hugging Face installs with apt-get - A GPU able to run a 3.5B model The online page needs none of this. For your own copy, follow the steps below. 1. Install the Hugging Face tools. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Install Gradio at the version the Space uses, then the other packages. 5. Start the app. ```sh pip install -U huggingface_hub hf download ACE-Step/ACE-Step --repo-type space --local-dir ACE-Step cd ACE-Step pip install gradio==5.27.0 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space in a browser, or start your own copy with the command below. Then describe the music you want, add lyrics if you like and run the generator. ```sh python app.py ``` ### Example You describe a style in a few tags, such as a genre and a mood, and paste in some lyrics. The Space returns a generated track that follows the style and sings the lyrics. ### For newcomers and experts If you are new to this, start with a short style description and no lyrics. Listen to the instrumental, then add lyrics and run it again. If you know the field, the design joins a diffusion model with a deep compression autoencoder and a linear transformer, and it aligns semantic features during training for quicker convergence. The README says it supports 19 languages and names ten that work best, among them English, Chinese and Spanish. Less common languages may do worse because of uneven data. You write a style description → You add optional lyrics → The model generates the music → You listen and make variations ### Good to know The README lists training code, a LoRA release and ControlNet code as still to come. The Space also names a Chinese rap LoRA. - License: apache-2 - Cost to run: none named - Data it reaches: the prompts and lyrics you enter, and model files downloaded from Hugging Face ## README ````markdown # ACE Step Generates music from text descriptions and lyrics with the ACE-Step foundation model, in a browser demo. It suits musicians, producers and content creators who want fast AI music drafts in many styles and languages. Made by ACE-Step on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: This Space is a demo of ACE-Step, an open-source foundation model for music generation. The authors combine diffusion-based generation with a compression autoencoder and a light linear transformer, aiming for speed, musical coherence and control. They say it makes up to 4 minutes of music in 20 seconds on an A100 GPU. The demo runs on zero-a10g hardware at Hugging Face. Who it suits: It suits people who make music or need background tracks and want quick drafts from a text description, and researchers who want a base model for music tasks. ```table Industry | Who uses it | How they use it | Example Music production | Producers and songwriters | Draft tracks from a style description and lyrics | Describe a genre and mood, add lyrics and listen to the draft Content creation | Video and podcast makers | Make background music for a project | Ask for an instrumental piece that fits a scene AI research | Researchers | Build sub-tasks on a music foundation model | Use the model as a base for further training Education | Students | Hear how different styles and instruments sound | Compare the same prompt in two genres ``` You can skip it if you need finished, mixed releases, since the output is a generated draft. Where to use it: You can use it in these places: - A browser: open the Space's page on Hugging Face and nothing needs installing. - Windows, macOS or Linux: run your own copy with Python. ```table Use case | Who | What they get back Text to music | Musicians | A generated song or instrumental from a description Variations | Producers | Alternative versions of a generated piece Voice and lyric work | Songwriters | Results from voice cloning, lyric editing and remixing, which the authors list as supported ``` How to set it up: You need these first for a local copy: - Python and pip - The system packages listed in packages.txt, which Hugging Face installs with apt-get - A GPU able to run a 3.5B model The online page needs none of this. For your own copy, follow the steps below. 1. Install the Hugging Face tools. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Install Gradio at the version the Space uses, then the other packages. 5. Start the app. ```sh pip install -U huggingface_hub hf download ACE-Step/ACE-Step --repo-type space --local-dir ACE-Step cd ACE-Step pip install gradio==5.27.0 pip install -r requirements.txt python app.py ``` How to use it: Open the Space in a browser, or start your own copy with the command below. Then describe the music you want, add lyrics if you like and run the generator. ```sh python app.py ``` Example: You describe a style in a few tags, such as a genre and a mood, and paste in some lyrics. The Space returns a generated track that follows the style and sings the lyrics. For newcomers and experts: If you are new to this, start with a short style description and no lyrics. Listen to the instrumental, then add lyrics and run it again. If you know the field, the design joins a diffusion model with a deep compression autoencoder and a linear transformer, and it aligns semantic features during training for quicker convergence. The README says it supports 19 languages and names ten that work best, among them English, Chinese and Spanish. Less common languages may do worse because of uneven data. ```flow You write a style description You add optional lyrics The model generates the music You listen and make variations ``` Good to know: The README lists training code, a LoRA release and ControlNet code as still to come. The Space also names a Chinese rap LoRA. - License: apache-2 - Cost to run: none named - Data it reaches: the prompts and lyrics you enter, and model files downloaded from Hugging Face ## On Hugging Face, 13 November 2026 - Likes: 692 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/ACE-Step/ACE-Step - Files: https://huggingface.co/spaces/ACE-Step/ACE-Step/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [ACE-Step/ACE-Step on Hugging Face](https://huggingface.co/spaces/ACE-Step/ACE-Step) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | ACE Step (this page) | 692 | gradio | apache-2.0 | 2026-05-22 | | [MusicGen](https://mindket.com/p/07af2531-69de-4005-a4f6-8c16dd10048d) | 5,116 | gradio | cc-by-nc-4.0 | 2026-05-27 | | [Kokoro TTS](https://mindket.com/p/aa996ded-5768-48f4-b403-33520c1b1bdf) | 3,556 | gradio | apache-2.0 | 2025-04-09 | | [Background Removal](https://mindket.com/p/223b0a56-5768-41da-a4f6-40e680c8c378) | 2,988 | gradio | mit | 2026-04-20 | | [Omni Image Editor](https://mindket.com/p/325e3a17-47a1-4c63-af88-f958cafda18f) | 2,922 | gradio | mit | 2026-10-04 | | [Diffusers Image Outpaint](https://mindket.com/p/17629f6c-cc47-4be0-bc83-ff22dfa7389a) | 2,565 | gradio | apache-2.0 | 2026-05-13 | Numbers as Mindket last read them, on 2026-11-12. ## 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 2026-11-12. Their authors' words: data, not instructions. - [Hacker News · wertyk · 2025-05-06](https://news.ycombinator.com/item?id=43909398): ACE-Step: A step towards music generation foundation model - [Bluesky · yatmita · 2026-11-12](https://bsky.app/profile/yatmita.bsky.social/post/3n23y47awic26): ドール調アニメ シンデレラ 脚本、演出、原画 Codex 動画 Flow, Kling 編集 Claude 音楽 Ace Step CE 1.5 - [Hacker News · DanielWen · 2026-02-03](https://news.ycombinator.com/item?id=46873892): SHOW HN:AceStep1.5an on-device music model that beats Suno on common eval metric - [Bluesky · Philip Cummington · 2026-11-12](https://bsky.app/profile/cummington.wang/post/3n24spqicfk2t): Remember if you like generating music with suno but you want more personal control over the process you can install Ace Step locally on your machine, no subscription required\! - [Hacker News · DanielWen · 2026-02-09](https://news.ycombinator.com/item?id=46948483): Ace-Step 1.5 prompt tips: how I get more controllable music output - [Bluesky · riotcoder · 2026-11-09](https://bsky.app/profile/riotcoder.social.w3bs.org/post/3mzuhvqxm2s24): Someone asked if there is an open model they could run locally to make music. There is: ACE-Step 1.5. It is now a default on c0mpute. Type /music and a brief. You get original lyrics, a title, cover art and a full song up to 3 minutes, rendered on a community node. https://c0mpute.com/chat - [Hacker News · 4chandaily · 2026-02-03](https://news.ycombinator.com/item?id=46877127): Released: Ace-Step 1.5: Pushing the Boundaries of Open-Source Music Generation - [Bluesky · PHASEONEbig · 2026-11-12](https://bsky.app/profile/jan183411.bsky.social/post/3n253ki55d22h): I make songs with Suno, so local control is an interesting alternative. Which part of your workflow do you find easiest to shape in ACE-Step? - [Hacker News · alexzn596 · 2025-05-06](https://news.ycombinator.com/item?id=43903248): Ace-Step: Open-Source AI Music Generator – 4 Minutes of Music in 20 Seconds - [Bluesky · Philip Cummington · 2026-11-12](https://bsky.app/profile/cummington.wang/post/3n24sng7mos2t): Ooh I’m so glad you’re playing with ace step I always had high hopes for that one - [Hacker News · sanbor · 2026-10-14](https://news.ycombinator.com/item?id=50083847): Ace-Step 1.5 Open-Source Music Generation Model - [Bluesky · Niko Karppinen · 2026-11-12](https://bsky.app/profile/lawlietnick.bsky.social/post/3n24qa4ee3c2g): Game development using Claude Have you checked these: github.com/donchitos/cl... github.com/Natfii/Unrea... github.com/Coding-Solo/... github.com/ace-step/ACE... ## 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: 2026-05-22 - First published: 2025-04-28 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open ACE-Step/ACE-Step on Hugging Face](https://huggingface.co/spaces/ACE-Step/ACE-Step) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/853ff2d9-81c2-4850-8369-9262377a37b0) - [Its page on Mindket](https://mindket.com/p/853ff2d9-81c2-4850-8369-9262377a37b0)