[Docs] Update installation method. (#448)

Signed-off-by: Alicia <115451386+congw729@users.noreply.github.com>

docs/api/README.md

@@ -4,7 +4,6 @@
 
 Main entry points for vLLM-Omni inference and serving.
 
-- [vllm_omni.entrypoints.async_diffusion.AsyncOmniDiffusion][]
 - [vllm_omni.entrypoints.async_omni.AsyncOmni][]
 - [vllm_omni.entrypoints.async_omni.AsyncOmniStageLLM][]
 - [vllm_omni.entrypoints.chat_utils.OmniAsyncMultiModalContentParser][]
@@ -18,7 +17,6 @@ Main entry points for vLLM-Omni inference and serving.
 - [vllm_omni.entrypoints.omni_llm.OmniLLM][]
 - [vllm_omni.entrypoints.omni_llm.OmniStageLLM][]
 - [vllm_omni.entrypoints.omni_stage.OmniStage][]
-- [vllm_omni.entrypoints.openai.serving_chat.OmniOpenAIServingChat][]
 
 ## Inputs
 

docs/getting_started/installation/gpu/cuda.inc.md

@@ -17,6 +17,8 @@ Therefore, it is recommended to install vLLM and vLLM-Omni with a **fresh new**
 # --8<-- [start:pre-built-wheels]
 
 #### Installation of vLLM
+Note: Pre-built wheels are currently only available for vLLM-Omni 0.11.0rc1. For the latest version, please [build from source](https://docs.vllm.ai/projects/vllm-omni/en/latest/getting_started/installation/gpu/#build-wheel-from-source).
+
 
 vLLM-Omni is built based on vLLM. Please install it with command below.
 ```bash

docs/getting_started/quickstart.md

@@ -12,14 +12,17 @@ This guide will help you quickly get started with vLLM-Omni to perform:
 
 ## Installation
 
-For installation on GPU using pre-built-wheel:
+For installation on GPU from source:
 
 ```bash
 uv venv --python 3.12 --seed
 source .venv/bin/activate
-uv pip install vllm==0.11.0 --torch-backend=auto
-uv pip install vllm-omni
+uv pip install vllm==0.12.0 --torch-backend=auto
+git clone https://github.com/vllm-project/vllm-omni.git
+cd vllm-omni
+uv pip install -e .
 ```
+
 For additional details—including alternative installation methods, installation on NPU and other platforms — please see the installation guide in [installation](installation/README.md)
 
 ## Offline Inference

docs/user_guide/examples/offline_inference/image_to_image.md

@@ -9,6 +9,14 @@ This example edits an input image with `Qwen/Qwen-Image-Edit` using the `image_e
 
 ### Single Image Editing
 
+Download the example image:
+
+```bash
+wget https://vllm-public-assets.s3.us-west-2.amazonaws.com/omni-assets/qwen-bear.png
+```
+
+Then run:
+
 ```bash
 python image_edit.py \
   --image qwen_bear.png \
@@ -20,7 +28,7 @@ python image_edit.py \
 
 ### Multiple Image Editing (Qwen-Image-Edit-2509)
 
-For multiple image inputs, use `Qwen/Qwen-Image-Edit-2509` or later version:
+For multiple image inputs, use `Qwen/Qwen-Image-Edit-2509` or  `Qwen/Qwen-Image-Edit-2511`:
 
 ```bash
 python image_edit.py \
@@ -49,3 +57,7 @@ Key arguments:
     ``````py
     --8<-- "examples/offline_inference/image_to_image/image_edit.py"
     ``````
+??? abstract "run_qwen_image_edit_2511.sh"
+    ``````sh
+    --8<-- "examples/offline_inference/image_to_image/run_qwen_image_edit_2511.sh"
+    ``````