[GH-ISSUE #1711] Training is freezing the computer when training for more than 20 epochs. #1140

New issue

Open

opened 2026-10-20 10:06:18 +00:00 by bsakaguchi · 0 comments

bsakaguchi commented

2026-10-20 10:06:18 +00:00

Owner

Originally created by @linuxtroubleshooting on GitHub (Jan 14, 2024).
Original GitHub issue: https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/issues/1711

Are there any options I can add to the invoking command to limit the VRAM usage. Like the way Automatic1111 for Stable Diffusion has --lowvram option.

Because when I'm trying to train a model for more than 20 epochs, it is freezing the entire computer. I have RX 6500 XT with 4GB, Main RAM is 16GB.

Originally created by @linuxtroubleshooting on GitHub (Jan 14, 2024). Original GitHub issue: https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/issues/1711 Are there any options I can add to the invoking command to limit the VRAM usage. Like the way Automatic1111 for Stable Diffusion has --lowvram option. Because when I'm trying to train a model for more than 20 epochs, it is freezing the entire computer. I have RX 6500 XT with 4GB, Main RAM is 16GB.

bsakaguchi added the

AMD/Intel

help wanted

labels

2026-10-20 10:06:18 +00:00