Retrieval-based-Voice-Conversion-WebUI
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Please increase limit of Epoches over 1000, and allows use of GPU Patch Size over 40
MY GPU and PC can handle it at max, I would like to do at least 2000 Epoches for closest voice to original VA, and GPU being 40 is just too low for patch size. RTX 4090 can handle way more than that thank you please
EZ, you just change the below Values in your infer-web.py file:
with gr.Group():
gr.Markdown(value=i18n("step3: 填写训练设置, 开始训练模型和索引"))
with gr.Row():
save_epoch10 = gr.Slider(
minimum=0,
maximum=50,
step=1,
label=i18n("保存频率save_every_epoch"),
value=5,
interactive=True,
)
total_epoch11 = gr.Slider(
minimum=0,
maximum=1000,
step=1,
label=i18n("总训练轮数total_epoch"),
value=20,
interactive=True,
)
batch_size12 = gr.Slider(
minimum=1,
maximum=40,
step=1,
label=i18n("每张显卡的batch_size"),
value=default_batch_size,
interactive=True,
)
if_save_latest13 = gr.Radio(
label=i18n("是否仅保存最新的ckpt文件以节省硬盘空间"),
choices=[i18n("是"), i18n("否")],
value=i18n("否"),
interactive=True,
)
For example 9999 Epochs max:
total_epoch11 = gr.Slider(
minimum=0,
maximum=9999,
step=1,
label=i18n("总训练轮数total_epoch"),
Edit: The value part is the Default Value that gets selected when you start/restart the Gradio UI
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