diff --git a/docs/models/supported_models.md b/docs/models/supported_models.md
index ecf3afbb2..9d921a310 100644
--- a/docs/models/supported_models.md
+++ b/docs/models/supported_models.md
@@ -46,6 +46,7 @@ th {
 |--------------|--------|-------------------|
 | `Qwen2_5OmniForConditionalGeneration` | Qwen2.5-Omni | `Qwen/Qwen2.5-Omni-7B`, `Qwen/Qwen2.5-Omni-3B`|
 | `QwenImagePipeline` | Qwen-Image | `Qwen/Qwen-Image` |
+| `QwenImagePipeline` | Qwen-Image-2512 | `Qwen/Qwen-Image-2512` |
 | `QwenImageEditPipeline` | Qwen-Image-Edit | `Qwen/Qwen-Image-Edit` |
 | `QwenImageEditPlusPipeline` | Qwen-Image-Edit-2509 | `Qwen/Qwen-Image-Edit-2509` |
 | `QwenImageLayeredPipeline` | Qwen-Image-Layered | `Qwen/Qwen-Image-Layered` |
diff --git a/docs/user_guide/examples/offline_inference/text_to_image.md b/docs/user_guide/examples/offline_inference/text_to_image.md
index a89da2006..b46ba4cc2 100644
--- a/docs/user_guide/examples/offline_inference/text_to_image.md
+++ b/docs/user_guide/examples/offline_inference/text_to_image.md
@@ -3,7 +3,7 @@
 Source <https://github.com/vllm-project/vllm-omni/tree/main/examples/offline_inference/text_to_image>.
 
 
-This folder provides several entrypoints for experimenting with `Qwen/Qwen-Image` `Tongyi-MAI/Z-Image-Turbo` using vLLM-Omni:
+This folder provides several entrypoints for experimenting with `Qwen/Qwen-Image` `Qwen/Qwen-Image-2512` `Tongyi-MAI/Z-Image-Turbo` using vLLM-Omni:
 
 - `text_to_image.py`: command-line script for single image generation with advanced options.
 - `web_demo.py`: lightweight Gradio UI for interactive prompt/seed/CFG exploration.
diff --git a/examples/offline_inference/text_to_image/README.md b/examples/offline_inference/text_to_image/README.md
index b0c7baab5..21358f333 100644
--- a/examples/offline_inference/text_to_image/README.md
+++ b/examples/offline_inference/text_to_image/README.md
@@ -1,6 +1,6 @@
 # Text-To-Image
 
-This folder provides several entrypoints for experimenting with `Qwen/Qwen-Image` `Tongyi-MAI/Z-Image-Turbo` using vLLM-Omni:
+This folder provides several entrypoints for experimenting with `Qwen/Qwen-Image` `Qwen/Qwen-Image-2512` `Tongyi-MAI/Z-Image-Turbo` using vLLM-Omni:
 
 - `text_to_image.py`: command-line script for single image generation with advanced options.
 - `web_demo.py`: lightweight Gradio UI for interactive prompt/seed/CFG exploration.
diff --git a/examples/offline_inference/text_to_image/text_to_image.py b/examples/offline_inference/text_to_image/text_to_image.py
index 1b5e1c069..170eb69ad 100644
--- a/examples/offline_inference/text_to_image/text_to_image.py
+++ b/examples/offline_inference/text_to_image/text_to_image.py
@@ -17,7 +17,8 @@ def parse_args() -> argparse.Namespace:
     parser.add_argument(
         "--model",
         default="Qwen/Qwen-Image",
-        help="Diffusion model name or local path. Supported models: Qwen/Qwen-Image, Tongyi-MAI/Z-Image-Turbo",
+        help="Diffusion model name or local path. Supported models: "
+        "Qwen/Qwen-Image, Tongyi-MAI/Z-Image-Turbo, Qwen/Qwen-Image-2512",
     )
     parser.add_argument("--prompt", default="a cup of coffee on the table", help="Text prompt for image generation.")
     parser.add_argument("--seed", type=int, default=142, help="Random seed for deterministic results.")