Comments (3)
thilasx
commented on August 19, 2024
2
After experimenting a bit with the provided ipynb files my Vram usages goes above 2.4GB.
Less would really be nice especially if this would go up with further requests, but until now I'm impressed with the speed and quality of the speakers.
Nicely done :)
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Zengyi-Qin
commented on August 19, 2024
This is normal. The pytorch lib does require such memory
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dilerbatu
commented on August 19, 2024
Do you know any way to decrease this usage ?
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Related Issues (20)
- Op
- 能否加入**那边口音？
- What would be the most optimal way to generate audio in real time?
- 各个模块或模型的作用是什么？有关V2测试
- Can this repo clone the original voice and generate a voice file with the speaker voice ? HOT 2
- What does the Tau parameter do?
- CUDNN_STATUS_NOT_SUPPORTED
- How to resovle this problem? tips："Couldn't find ffmpeg or avconv - defaulting to ffmpeg, but may not work" HOT 1
- 尝试了中文男性，感觉有浓重的日本口音
- An error occured while synchronizing the model guillaumekln/faster-whisper-medium from the Hugging Face Hub:
- ValueError: This CTranslate2 package was not compiled with CUDA support HOT 2
- CPU support for voice tone extraction
- Base model for zero shot speech generation HOT 1
- It that necessary to apply VC for every single sentence? HOT 1
- target_se file not found error HOT 3
- numpy.core.multiarray failed to import
- How to finetuning the voice-cloning model?
- how to convert the model into ONNX format? HOT 1
- Please enable github discussions for this project
- Embedding error for Chinese language HOT 2
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