update docs (#536)

Signed-off-by: hsliu <liuhongsheng4@huawei.com>

docs/contributing/README.md

@@ -13,25 +13,18 @@ vLLM-Omni uses `uv` as the environment manager, to create and manage Python envi
 uv venv --python 3.12 --seed
 source .venv/bin/activate
 ```
-### Development Environment for vLLM
 
-vLLM-Omni is built on top of the stable release 0.12.0 of vLLM. You may install `vllm==0.12.0` directly or install the library from source if you need to check, modify or debug with source code of vLLM.
+### Development Environment for vLLM and vLLM-Omni
 
-The release 0.12.0 of vLLM is based on PyTorch 2.9.0 which requires CUDA 12.9 environment.
-
-### Development Environment for vLLM-Omni
-
-Install vLLM-Omni from source with development dependencies:
-
-```bash
-git clone https://github.com/vllm-project/vllm-omni.git
-cd vllm-omni
-uv pip install -e ".[dev]"
-```
+vLLM-Omni is quickly evolving, please see the [installation guide](../getting_started/installation/README.md) for details. It's recommended to build from source to provide the latest development environment.
 
 !!! tip
     vLLM-Omni is compatible with Python versions 3.10 to 3.12. However, we recommend developing with Python 3.12 to minimize the chance of your local environment clashing with our CI environment.
 
+### Adding a new model to vLLM-Omni
+
+Please check [model implementation](model/README.md) for how to add diffusion and omni-modality models to vLLM-Omni.
+
 ### Linting
 
 vLLM-Omni uses `pre-commit` to lint and format the codebase. See [pre-commit documentation](https://pre-commit.com/#usage) if `pre-commit` is new to you. Setting up `pre-commit` is as easy as:

docs/contributing/model/README.md

@@ -26,4 +26,4 @@ The guide covers:
 
 ## Quick Start
 
-For a quick reference, see the [Adding a New Omni Model Guide](adding_multi_stage_model.md) and [Adding a New Diffusion Model Guide](adding_diffusion_model.md).
+For a quick reference, see the [Adding a New Multi-Stage Model Guide](adding_multi_stage_model.md) and [Adding a New Diffusion Model Guide](adding_diffusion_model.md).

docs/contributing/model/adding_diffusion_model.md

@@ -1,4 +1,4 @@
-# Adding a New Diffusion Model to vLLM-Omni
+# Adding a Diffusion Model
 This guide walks through the process of adding a new Diffusion model to vLLM-Omni, using Qwen/Qwen-Image-Edit as a comprehensive example.
 
 # Table of Contents

docs/contributing/model/adding_multi_stage_model.md

@@ -1,6 +1,6 @@
-# Adding a New Multi-Stage Model to vLLM-Omni
+# Adding a Multi-Stage Model
 
-This guide walks through the process of adding a new model to vLLM-Omni, using **Qwen3-Omni** as a comprehensive example. Qwen3-Omni is a multi-stage omni-modality model that demonstrates the full capabilities of vLLM-Omni's architecture.
+This guide walks through the process of adding a new multi-stage model to vLLM-Omni, using **Qwen3-Omni** as a comprehensive example. Qwen3-Omni is a multi-stage omni-modality model that demonstrates the full capabilities of vLLM-Omni's architecture.
 
 ## Table of Contents
 

docs/contributing/profiling.md

@@ -1,3 +1,3 @@
-# Profiling vLLM-Omni (update soon)
+# Profiling vLLM-Omni
 
 Profiling is only intended for vLLM-Omni developers and maintainers to understand the proportion of time spent in different parts of the codebase. **vLLM-Omni end-users should never turn on profiling** as it will significantly slow down the inference.