[Model] Add Ming-omni-tts dense 0.5B pipeline (#2906)

Signed-off-by: akshatvishu <akshatnayak197@gmail.com>
Co-authored-by: Hongsheng Liu <liuhongsheng4@huawei.com>

recipes/inclusionAI/Ming-omni-tts-0.5B.md

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+# Ming-omni-tts 0.5B
+
+> Offline and online dense Ming text-to-speech on ROCm
+
+## Summary
+
+- Vendor: inclusionAI
+- Model: `inclusionAI/Ming-omni-tts-0.5B`
+- Task: Text-to-speech with style, dialect, cloning, and multi-speaker controls
+- Mode: Online serving via the OpenAI-compatible `/v1/audio/speech` API; offline inference
+- Maintainer: Community
+
+## References
+
+- [Model card](https://huggingface.co/inclusionAI/Ming-omni-tts-0.5B)
+- [Upstream repository](https://github.com/inclusionAI/Ming-omni-tts)
+- [Offline example](../../examples/offline_inference/text_to_speech/ming_tts/)
+- [Online example](../../examples/online_serving/text_to_speech/ming_tts/)
+
+## Hardware Support
+
+## ROCm
+
+### 1x AMD `gfx942`
+
+#### Environment
+
+- OS: Ubuntu 22.04.5 LTS, x86_64
+- Python: 3.12.13
+- ROCm / HIP: 7.2.53211
+- vLLM version: 0.22.0
+- vLLM-Omni version or commit: 0.1.dev1873 / `99c35c410`
+- Docker image: `vllm/vllm-omni-rocm:v0.22.0`
+
+#### Command
+
+From the vLLM-Omni repository root:
+
+```bash
+docker run --rm \
+    --group-add=video \
+    --ipc=host \
+    --cap-add=SYS_PTRACE \
+    --security-opt seccomp=unconfined \
+    --device /dev/kfd \
+    --device /dev/dri \
+    -v ~/.cache/huggingface:/root/.cache/huggingface \
+    -v "$PWD":/app/vllm-omni \
+    -w /app/vllm-omni \
+    -e VLLM_ROCM_USE_AITER=0 \
+    -p 8091:8091 \
+    vllm/vllm-omni-rocm:v0.22.0 \
+    --model inclusionAI/Ming-omni-tts-0.5B \
+    --deploy-config vllm_omni/deploy/ming_tts.yaml \
+    --omni \
+    --port 8091 \
+    --enforce-eager
+```
+
+#### Verification
+
+```bash
+python examples/online_serving/text_to_speech/ming_tts/openai_speech_client.py \
+    --text "我觉得社会企业同个人都有责任" \
+    --instruction-json '{"方言":"广粤话"}' \
+    --ref-audio /path/to/yue_prompt.wav \
+    --max-new-tokens 200 \
+    --output dialect.wav
+```
+
+`--ref-audio` matches upstream `use_spk_emb=True`; do not add `--ref-text`
+for the dialect case.
+
+## Notes
+
+- The official ROCm image includes the platform dependencies.
+- See the [ROCm installation guide](../../docs/getting_started/installation/gpu.md)
+  for interactive and source-build workflows.
+- The [offline example](../../examples/offline_inference/text_to_speech/ming_tts/)
+  can be run from an interactive container.
+- The tested environment uses `--enforce-eager`.
+- Output is mono 44.1 kHz audio.