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Question about future development of the model #17
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Most of the upgrades are done after a new good model has been publicly released. I don't have the ressources to train good models myself so evolution will continue this way. I don't have plans to implement VR arch models, I could probably add the FoxJoy dereverb model from UVR easily tho (as it's MDX-Net based and the code is already implemented for VocFT and InstHQ4, but hopefully better models for that task will be released this year. |
You can use these VR models here
https://huggingface.co/spaces/r3gm/Ultimate-Vocal-Remover-WebUI
sob., 13 kwi 2024, 20:12 użytkownik Jarredou ***@***.***>
napisał:
… Most of the upgrades are done after a new good model has been publicly
release. I don't have the ressources to train good models myself so
evolution will continue this way.
I don't have plans to implement VR arch models, I could probably add the
FoxJoy dereverb model from UVR easily tho, but hopefully better models for
that task will be released this year.
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With each new model, the load on the GPU increases and can reach 13-14 GB. This leads to a slowdown in the processing process. I would like to know if optimization will be implemented to reduce the load on the GPU? |
You can lower BigShifts parameter to reduce the number of passes by model, I've already lowered the new default value (it was at 7 in previous version), the slowdown is mainly because BS-Roformer processing is 3x slower than MDX23C (InstVoc). I'll see to add a "low memory" setting. It should be easy & quick to add but it will only influence vocals/instrumentals separation. |
Hi! I really enjoyed your Colab Notebook and I have a couple of questions:
Thank you in advance for your answer!
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