Audioldm Text To Audio Generation

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.

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.

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.

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

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.