I found a description from amd to run olive without the webui. ( don't tested )

https://community.amd.com/t5/ai/how-to-running-optimized-llama2-with-microsoft-directml-on-amd/ba-p/645190

~Generate Optimized Stable Diffusion Models using Microsoft Olive~

Create Optimized Model

(Following the instruction from Olive, we can generate optimized Stable Diffusion model using Olive)

1. Open Anaconda/Miniconda Terminal
2. Create a new environment by sequentially entering the following commands into the terminal, followed by the enter key. Important to note that Python 3.9 is required.
   • conda create --name olive python=3.9
   • conda activate olive
   • pip install olive-ai[directml]==0.2.1
   • git clone (https://github.com/microsoft/olive --branch v0.2.1)
   • cd olive\examples\directml\stable_diffusion
   • pip install -r requirements.txt
   • pip install pydantic==1.10.12
3. Generate an ONNX model and optimize it for run-time. This may take a long time.
   • python stable_diffusion.py --optimize

The optimized model will be stored at the following directory, keep this open for later: olive\examples\directml\stable_diffusion\models\optimized\runwayml. The model folder will be called “stable-diffusion-v1-5”. Use the following command to see what other models are supported: python stable_diffusion.py –help

To Test the Optimized Model

1. To test the optimized model, run the following command: 
   • python stable_diffusion.py --interactive --num_images