[SageMaker] New Qwen-TTS generation example#2652
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
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thank @ehcalabres, very cool 😄 I ran the notebook end to end and I confirm it's working, however the cloned output is a bit ... weird? 😅 Did you get a nice output from that during your tests? I used the |
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Hey @dwarez! So, I tried a couple of times initially and it worked good with my own voice. I tried both with and without the transcript (using |

Description
This PR adds a new SageMaker example about speech generation with the Hugging Face vLLM Omni DLC and the
Qwen/Qwen3-TTS-12Hz-1.7B-BaseandQwen/Qwen3-TTS-12Hz-1.7B-CustomVoicemodels. The topic of the example is:Deploy Qwen3-TTS for ad voiceovers on Amazon SageMaker AI.This PR needs #2649 to be merged first, as that PR contains improvements for SageMaker notebook docs.
Note
Low Risk
Documentation-only addition (notebook and images); no changes to application or infrastructure code in the repo.
Overview
Adds a new SageMaker SDK notebook under
tts-qwen-sagemaker-vllm-omnititled Deploy Qwen3-TTS for ad voiceovers on Amazon SageMaker AI, plus cover and UI screenshots inassets/.The walkthrough deploys Qwen3-TTS CustomVoice on the Hugging Face vLLM-Omni DLC (
ml.g5.xlarge) via SageMaker Python SDK v3Model/EndpointConfig/Endpoint, withHF_TASK=text-to-speechand invocations routed throughCustomAttributes="route=/v1/audio/speech". It also documents an optional Base endpoint for authorized voice cloning, a Gradio Ad Voiceover Studio that calls those endpoints, and optional MCP exposure viagradio[mcp].Reviewed by Cursor Bugbot for commit 6791327. Bugbot is set up for automated code reviews on this repo. Configure here.