[Doc] Sync (#1216)

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

docs/user_guide/examples/offline_inference/text_to_image.md

@@ -51,8 +51,7 @@ if __name__ == "__main__":
 
     For diffusion pipelines, the stage config field `stage_args.[].runtime.max_batch_size` is 1 by default, and the input
     list is sliced into single-item requests before feeding into the diffusion pipeline. For models that do internally support
-    batched inputs, you can [modify this configuration](../../../configuration/stage_configs.md
-    ) to let the model accept a longer batch of prompts.
+    batched inputs, you can [modify this configuration](https://github.com/vllm-project/vllm-omni/tree/main/configuration/stage_configs.md) to let the model accept a longer batch of prompts.
 
 Apart from string prompt, vLLM-Omni also supports dictionary prompts in the same style as vLLM.
 This is useful for models that support negative prompts.

docs/user_guide/examples/online_serving/image_to_image.md

@@ -15,6 +15,9 @@ For **multi-image** input editing, use **Qwen-Image-Edit-2509** (QwenImageEditPl
 vllm serve Qwen/Qwen-Image-Edit --omni --port 8092
 ```
 
+!!! note
+    If you encounter Out-of-Memory (OOM) issues or have limited GPU memory, you can enable VAE slicing and tiling to reduce memory usage, --vae-use-slicing --vae-use-tiling
+
 ### Multi-Image Edit (Qwen-Image-Edit-2509)
 
 ```bash