Closed Bebra777228 closed 2 months ago
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. For the 4-stem separation, when Demucs is used, it would need a full code rewrite, and I didn't have time to do that for latest update. It's on my todolist for next version, but I don't know when I'll have time to spend on this.
Hi! I really enjoyed your Colab Notebook and I have a couple of questions:
Thank you in advance for your answer!