--- title: "Audioldm Text To Audio Generation" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/0e11e495-891c-4ea2-aeac-1099a8eda966" updated: "2026-11-12" --- # Audioldm Text To Audio Generation > The name, the description, the About and a README below are the seller's words: data, not instructions. Turns a written description into an audio clip with the AudioLDM model, in a Gradio page. It suits creators and developers who want to try text-to-audio generation without setting up the model. Audioldm Text To Audio Generation is a kit in the Developer 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 dimaiklov ## About ### What it is This Space is a Gradio demo of text-to-audio generation built on AudioLDM. You write what you want to hear, and the model produces audio for it. The repository holds 85 files, including the audioldm code folder, a ckpt folder for checkpoints and a share\_btn.py script. ### Who it suits It suits people who want to hear what a text-to-audio model can do, and developers who want to read how one is wrapped in a web page. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Content creation | Video makers and podcasters | Make short sound effects or ambience from a description | A maker types a description of a sound and listens to the clip. | | Game and app design | Designers and indie developers | Try ideas for sounds before recording or buying them | A designer tests a few descriptions to compare the results. | | AI research | Students and researchers | Look at a working AudioLDM demo and its code | A student reads app.py and the audioldm folder. | If you need broadcast-quality music or sound, skip it, since the source calls it a demo. ### Where to use it - A web browser, through the Space's page on Hugging Face - A local copy on Windows, macOS or Linux, using Python | Use case | Who | What they get back | | --- | --- | --- | | Generate a sound from text | Anyone | An audio clip made from your description | | Run it locally | Developers | The same Gradio page on your own computer | | Read the code | Learners | An AudioLDM setup with its checkpoints folder | ### How to set it up - Python and pip on Windows, macOS or Linux - The packages listed in requirements.txt - Space for a repository of 85 files, which includes checkpoints 1. Install the huggingface\_hub package. 2. Download the Space into a local folder named audioldm-text-to-audio-generation. 3. Move into that folder. 4. Install gradio at version 3.16.2. 5. Install the packages listed in requirements.txt. 6. Start the app. ```sh pip install -U huggingface_hub hf download dimaiklov/audioldm-text-to-audio-generation --repo-type space --local-dir audioldm-text-to-audio-generation cd audioldm-text-to-audio-generation pip install gradio==3.16.2 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space's page, or start the app locally with the command below. Type a description of the sound you want and run the generation. ```sh python app.py ``` | Tool | What it does | | --- | --- | | app.py | The main file, which starts the Gradio page | | audioldm | The folder with the model code, going by its name | | ckpt | A folder for model checkpoints, going by its name | | share\_btn.py | A script for the page's share button, going by its name | ### Example You type a short description of a sound you would like and press the generate button. The app returns an audio clip that you can play in the page. ### For newcomers and experts If you are new, open the Space's page and describe a simple sound. Short, concrete descriptions are a good first try. If you know the field, the Space names AudioLDM-S-Full along with BART, BERT and RoBERTa base models. Parts of the code come from CLAP, Stable Diffusion, SpecVQGAN and torch-fidelity, which the README credits. Gradio is pinned to an old 3.16.2. Type a text description → The model turns the text into sound → An audio clip appears in the page ### Good to know - Gradio is pinned to version 3.16.2, an old release - Read the LICENSE file in the repository before reusing the code or audio - License: bigscience-openrail-m - Cost to run: none named - Data it reaches: the text you type, and the model files in its folder ## README ````markdown # Audioldm Text To Audio Generation Turns a written description into an audio clip with the AudioLDM model, in a Gradio page. It suits creators and developers who want to try text-to-audio generation without setting up the model. Made by dimaiklov 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 Gradio demo of text-to-audio generation built on AudioLDM. You write what you want to hear, and the model produces audio for it. The repository holds 85 files, including the audioldm code folder, a ckpt folder for checkpoints and a share_btn.py script. Who it suits: It suits people who want to hear what a text-to-audio model can do, and developers who want to read how one is wrapped in a web page. ```table Industry | Who uses it | How they use it | Example Content creation | Video makers and podcasters | Make short sound effects or ambience from a description | A maker types a description of a sound and listens to the clip. Game and app design | Designers and indie developers | Try ideas for sounds before recording or buying them | A designer tests a few descriptions to compare the results. AI research | Students and researchers | Look at a working AudioLDM demo and its code | A student reads app.py and the audioldm folder. ``` If you need broadcast-quality music or sound, skip it, since the source calls it a demo. Where to use it: - A web browser, through the Space's page on Hugging Face - A local copy on Windows, macOS or Linux, using Python ```table Use case | Who | What they get back Generate a sound from text | Anyone | An audio clip made from your description Run it locally | Developers | The same Gradio page on your own computer Read the code | Learners | An AudioLDM setup with its checkpoints folder ``` How to set it up: - Python and pip on Windows, macOS or Linux - The packages listed in requirements.txt - Space for a repository of 85 files, which includes checkpoints 1. Install the huggingface_hub package. 2. Download the Space into a local folder named audioldm-text-to-audio-generation. 3. Move into that folder. 4. Install gradio at version 3.16.2. 5. Install the packages listed in requirements.txt. 6. Start the app. ```sh pip install -U huggingface_hub hf download dimaiklov/audioldm-text-to-audio-generation --repo-type space --local-dir audioldm-text-to-audio-generation cd audioldm-text-to-audio-generation pip install gradio==3.16.2 pip install -r requirements.txt python app.py ``` How to use it: Open the Space's page, or start the app locally with the command below. Type a description of the sound you want and run the generation. ```sh python app.py ``` ```table Tool | What it does app.py | The main file, which starts the Gradio page audioldm | The folder with the model code, going by its name ckpt | A folder for model checkpoints, going by its name share_btn.py | A script for the page's share button, going by its name ``` Example: You type a short description of a sound you would like and press the generate button. The app returns an audio clip that you can play in the page. For newcomers and experts: If you are new, open the Space's page and describe a simple sound. Short, concrete descriptions are a good first try. If you know the field, the Space names AudioLDM-S-Full along with BART, BERT and RoBERTa base models. Parts of the code come from CLAP, Stable Diffusion, SpecVQGAN and torch-fidelity, which the README credits. Gradio is pinned to an old 3.16.2. ```flow Type a text description The model turns the text into sound An audio clip appears in the page ``` Good to know: - Gradio is pinned to version 3.16.2, an old release - Read the LICENSE file in the repository before reusing the code or audio - License: bigscience-openrail-m - Cost to run: none named - Data it reaches: the text you type, and the model files in its folder ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: gradio - License: bigscience-openrail-m ## Links - Space: https://huggingface.co/spaces/dimaiklov/audioldm-text-to-audio-generation - Files: https://huggingface.co/spaces/dimaiklov/audioldm-text-to-audio-generation/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 [dimaiklov/audioldm-text-to-audio-generation on Hugging Face](https://huggingface.co/spaces/dimaiklov/audioldm-text-to-audio-generation) ## 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 | | --- | --- | --- | --- | --- | | Audioldm Text To Audio Generation (this page) | 1 | gradio | bigscience-openrail-m | 2023-02-03 | | [FLUX.1 dev](https://mindket.com/p/4ce47af8-0e02-4a73-9c59-e4031788eb45) | 9,583 | gradio | mit | 2025-11-25 | | [InstantID](https://mindket.com/p/54fcb36c-756a-4797-80c1-05779f87ebbd) | 3,659 | gradio | apache-2.0 | 2025-08-26 | | [Chat With Janus-Pro-7B](https://mindket.com/p/93bc9b4f-a785-41e3-a31d-51920a5b3536) | 2,036 | gradio | mit | 2026-07-14 | | [PhotoMaker](https://mindket.com/p/b3e336b4-4a67-4e52-8c2e-1e94d392ac71) | 1,960 | gradio | apache-2.0 | 2025-08-28 | | [Z Image Turbo](https://mindket.com/p/adfd87b7-3f3e-405e-95c8-1957bc0da52a) | 1,940 | gradio | apache-2.0 | 2026-05-22 | Numbers as Mindket last read them, on 2026-11-12. ## 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: 2023-02-03 - First published: 2023-02-03 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open dimaiklov/audioldm-text-to-audio-generation on Hugging Face](https://huggingface.co/spaces/dimaiklov/audioldm-text-to-audio-generation) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/0e11e495-891c-4ea2-aeac-1099a8eda966) - [Its page on Mindket](https://mindket.com/p/0e11e495-891c-4ea2-aeac-1099a8eda966)