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# 💀🔊 StableAudioWebUI 💀🔊

[![Hugging Face](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Space-red)](https://huggingface.co/spaces/ameerazam08/stableaudio-open-1.0)

### A Lightweight Gradio Web interface for running Stable Audio Open 1.0



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![image](assets/screenshot000.png)

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![image](assets/screenshot00.png)

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### Example



https://github.com/Saganaki22/StableAudioWebUI/assets/84208527/30063999-9ca6-4a86-8721-65e3cba4c87d


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# ⚠ Disclaimer ⚠

### I am not responsible for any content generated using this repository. By using this repository, you acknowledge that you are bound by the [Stability AI license agreement](https://huggingface.co/stabilityai/stable-audio-open-1.0/blob/main/LICENSE) and will only use this model for research or personal purposes. No commercial usage is allowed! <br>

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### Recommended Settings
Prompt: Any <br>
Sampler: dpmpp-3m-sde <br>
CFG: 7 <br>
Sigma_Min: 0.3 <br>
Sigma_Max: 500 <br>
Duration: Max 47s <br>
Seed: Any <br>

### > Saves Files in the following directory Output/YYYY-MM-DD/ <br>
### > using the following schema 'your_prompt.mp3' <br>

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# 🚀Updates (0.3)
✅ Added [One-Click-Installer.bat](https://github.com/Saganaki22/StableAudioWebUI/releases/tag/latest) for Windows NVIDIA / CPU Builds

✅ Optimised Code for efficiency <br>

✅ Simplified UI <br>

✅ Updated UI elements to include Advanced Parametres dropdown <br>

*( CFG Scale, Sigma_min, Sigma_max )* <br>

✅ Added Use Half precision checkbox for Low VRAM inference <br>

*( Float 16 )*

✅ Added choice for all Sampler types <br>

*( dpmpp-3m-sde, dpmpp-2m-sde, k-heun, k-lms, k-dpmpp-2s-ancestral, k-dpm-2, k-dpm-fast )* <br>

✅ Added link to the Repo <br>

[08/06/2024]

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 ### 📝 Note: For Windows builds with [Nvidia](https://github.com/Saganaki22/StableAudioWebUI/releases/download/latest/One-Click-Installer-GPU.bat) 30xx + or Float32 Capable [CPU](https://github.com/Saganaki22/StableAudioWebUI/releases/download/latest/One-Click-Installer-CPU.bat) you can use the [One-Click-Installer.bat](https://github.com/Saganaki22/StableAudioWebUI/releases/tag/latest) to simplify the process, granted you have logged in to huggingface-cli and auth'd your token prior to running the batch script: Step 3 (the huggingface-cli is used for obtaining the model file)

 ## Step 1: Start by cloning the repo:
 
    git clone https://github.com/Saganaki22/StableAudioWebUI.git

    
## Step 2: Use the below deployment (tested on 24GB Nvidia VRAM but should work with 12GB too as we have added the Load Half precision, Float16 option in the WebUI):

    cd StableAudioWebUI
    python -m venv myenv
    myenv\Scripts\activate
    pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
    pip install -r requirements.txt

    
## (Note if you have an older Nvidia GPU you may need to use CUDA 11.8)

    pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118

Step 3: (Optional - read more): If you haven't got a hugging face account or have not used huggingface-cli before, create an account and then authenticate your Hugging face account with a token (create token at https://huggingface.co/settings/tokens)

    huggingface-cli login

  (paste your token and follow the instructions, token will not be displayed when pasted)

  ## If you want to run it using CPU <br> 
  omit 'pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121' and the process after it and just run

    pip install -r requirements1.txt
    pip install -r requirements.txt

## Step 4: Run


    python gradio_app.py
    
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## ⭐ Bonus
If you are using Windows and followed my setup instructions you could create a batch script to activate the enviroment and run the script all in one, what you need to do is: <br>
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Create a new text file in the same folder as gradio_app.py & paste this in the text file

    @echo off
    title StableAudioWebUI
    call myenv\Scripts\activate
    python gradio_app.py
    pause

then save the file as run.bat
 
# Screenshots (older build)

(All with random seeds) <br>


Prompt: a dog barking <br>
CFG: 7 <br>
Sigma_Min: 0.3 <br>
Sigma_Max: 500 <br>


![image](https://github.com/Saganaki22/StableAudioWebUI/blob/main/assets/screenshot1.png) <br>

https://github.com/Saganaki22/StableAudioWebUI/assets/84208527/4ca9eb1b-2808-4f39-b7e3-f35c736eb7b7

#
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Prompt: people clapping <br>
CFG: 7 <br>
Sigma_Min: 0.3 <br>
Sigma_Max: 500 <br>

![image](https://github.com/Saganaki22/StableAudioWebUI/blob/main/assets/screenshot2.png) <br>



https://github.com/Saganaki22/StableAudioWebUI/assets/84208527/1f333384-d4e6-4167-abec-5167e2f4822f



#
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Prompt: didgeridoo <br>
CFG: 7 <br>
Sigma_Min: 0.3 <br>
Sigma_Max: 500 <br>

![image](https://github.com/Saganaki22/StableAudioWebUI/blob/main/assets/screenshot3.png) <br>



https://github.com/Saganaki22/StableAudioWebUI/assets/84208527/1cb7ce3b-7463-46a8-ba9a-3a5aa232d43a



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## Model Details

- **Model type**: `Stable Audio Open 1.0` is a latent diffusion model based on a transformer architecture.
- **Language(s)**: English
- **License**: See the [LICENSE file](https://huggingface.co/stabilityai/stable-audio-open-1.0/blob/main/LICENSE).
- **Commercial License**: to use this model commercially, please refer to [https://stability.ai/membership](https://stability.ai/membership)

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#
![image](https://huggingface.co/datasets/huggingface/brand-assets/resolve/main/hf-logo-with-title.png)

### [Huggingface](https://huggingface.co/stabilityai/stable-audio-open-1.0)   |   [Stable Audio Tools](https://github.com/Stability-AI/stable-audio-tools)   |   [Stability AI](https://stability.ai/news/introducing-stable-audio-open)

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![drbaph](https://github.com/Saganaki22/StableAudioWebUI/assets/84208527/13432252-e640-4c98-a7ab-4d57e6b56059)


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