Deployed on edge devices
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- Python
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Description
Checks
- This template is only for question, not feature requests or bug reports.
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Question details
Hello, everyone. I want to ask, has anyone successfully deployed the F5-TTS model on edge devices? Such as deploy on qualcomm chips using QNN?I have used QNN to deployed F5_Transformer part on SM8550 with HTP fp16 precision, but the latency is too heavy to accept, it takes me about 5s to run F5_Transformer once(my test audio length is about 6s).
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Research direction
Start by reviewing the F5_Transformer deployment on Qualcomm SM8550 with QNN and HTP fp16 described in the issue. Compare the reported 5-second latency for 6-second audio with the project's documented deployment guidance; done would require an agreed edge-device deployment approach and acceptable latency target.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- ai, embedded-iot
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100