# Configuration Options

This section lists the most common options for running vLLM-Omni.

For options within a vLLM Engine, please refer to the [vLLM 0.29 configuration guide](https://docs.vllm.ai/en/v0.29.0/configuration/index.html).

Each model defines fixed topology in a registered `PipelineConfig` and runtime
overrides in a deploy YAML.

For process-level settings shared by the CLI, deploy YAML, workers, and model
integrations, see [Environment Variables](./environment_variables.md).

For a specific example, see the [Qwen2.5-Omni deploy config](gh-file:vllm_omni/deploy/qwen2_5_omni.yaml). The matching frozen pipeline topology lives at [vllm_omni/model_executor/models/qwen2_5_omni/pipeline.py](gh-file:vllm_omni/model_executor/models/qwen2_5_omni/pipeline.py).

For an introduction, see [Pipeline and deploy configurations](./stage_configs.md).

## Memory Configuration

- **[GPU Memory Calculation and Configuration](./gpu_memory_utilization.md)** - Guide on how to calculate memory requirements and set up `gpu_memory_utilization` for optimal performance

## Optimization Features

- **[Diffusion Features Overview](../user_guide/diffusion_features.md)** - Complete overview of all diffusion model features and supported models