[Doc]Fix - Align with repo. (#1176)

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

docs/user_guide/examples/offline_inference/text_to_audio.md

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+# Text-To-Audio
+
+Source <https://github.com/vllm-project/vllm-omni/tree/main/examples/offline_inference/text_to_audio>.
+
+
+The `stabilityai/stable-audio-open-1.0` pipeline generates audio from text prompts.
+
+## Prerequisites
+
+If you use a gated model (e.g., `stabilityai/stable-audio-open-1.0`), ensure you have access:
+
+1. **Accept Model License**: Visit the model page on Hugging Face (e.g., [stabilityai/stable-audio-open-1.0]) and accept the user agreement.
+2. **Authenticate**: Log in to Hugging Face locally to access the gated model.
+   ```bash
+   huggingface-cli login
+   ```
+
+## Local CLI Usage
+
+```bash
+python text_to_audio.py \
+  --model stabilityai/stable-audio-open-1.0 \
+  --prompt "The sound of a hammer hitting a wooden surface" \
+  --negative_prompt "Low quality" \
+  --seed 42 \
+  --guidance_scale 7.0 \
+  --audio_length 10.0 \
+  --num_inference_steps 100 \
+  --output stable_audio_output.wav
+```
+
+Key arguments:
+
+- `--prompt`: text description (string).
+- `--negative_prompt`: negative prompt for classifier-free guidance.
+- `--seed`: integer seed for deterministic generation.
+- `--guidance_scale`: classifier-free guidance scale.
+- `--audio_length`: audio duration in seconds.
+- `--num_inference_steps`: diffusion sampling steps.(more steps = higher quality, slower).
+- `--output`: path to save the generated WAV file.
+
+## Example materials
+
+??? abstract "text_to_audio.py"
+    ``````py
+    --8<-- "examples/offline_inference/text_to_audio/text_to_audio.py"
+    ``````