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Update README.md to streamline setup instructions and enhance clarity

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Gabriel Kaszewski
2025-08-24 12:06:59 +02:00
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@@ -111,17 +111,13 @@ _( dpmpp-3m-sde, dpmpp-2m-sde, k-heun, k-lms, k-dpmpp-2s-ancestral, k-dpm-2, k-d
### 📝 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) ### 📝 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: ## 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): ## 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 cd StableAudioWebUI
python -m venv myenv uv sync
myenv\Scripts\activate uv run gradio_app.py
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) ## (Note if you have an older Nvidia GPU you may need to use CUDA 11.8)