mrq/ai-voice-cloning
31
74
Fork 43
Code Issues 223 Pull Requests 5 Packages Projects Releases Wiki Activity

Compare commits

base: mrq:master
Branches Tags
mrq:master
VitekDev:save-frequency
VitekDev:master
..
compare: VitekDev:save-frequency
Branches Tags
VitekDev:save-frequency
VitekDev:master
mrq:master

1 Commits
master ... save-frequ

Author SHA1 Message Date
VitekDev
71b676060a allow using 0.01 in save frequncy for large datasets 2024-02-15 13:01:07 +00:00
2 changed files with 3 additions and 3 deletions
Show Stats Expand all files Collapse all files

2
README.md
View File

@ -1,6 +1,6 @@
# AI Voice Cloning # AI Voice Cloning
> **Note** This project is effectively abandonware due to requiring a rewrite. Please use [JarodMica/ai-voice-cloning](https://github.com/JarodMica/ai-voice-cloning). > **Note** This project has been in dire need of being rewritten from the ground up for some time. Apologies for any crust from my rather spaghetti code.
This [repo](https://git.ecker.tech/mrq/ai-voice-cloning)/[rentry](https://rentry.org/AI-Voice-Cloning/) aims to serve as both a foolproof guide for setting up AI voice cloning tools for legitimate, local use on Windows/Linux, as well as a stepping stone for anons that genuinely want to play around with [TorToiSe](https://github.com/neonbjb/tortoise-tts). This [repo](https://git.ecker.tech/mrq/ai-voice-cloning)/[rentry](https://rentry.org/AI-Voice-Cloning/) aims to serve as both a foolproof guide for setting up AI voice cloning tools for legitimate, local use on Windows/Linux, as well as a stepping stone for anons that genuinely want to play around with [TorToiSe](https://github.com/neonbjb/tortoise-tts).

2
src/webui.py
View File

@ -553,7 +553,7 @@ def setup_gradio():
TRAINING_SETTINGS["batch_size"] = gr.Number(label="Batch Size", value=128, precision=0) TRAINING_SETTINGS["batch_size"] = gr.Number(label="Batch Size", value=128, precision=0)
TRAINING_SETTINGS["gradient_accumulation_size"] = gr.Number(label="Gradient Accumulation Size", value=4, precision=0) TRAINING_SETTINGS["gradient_accumulation_size"] = gr.Number(label="Gradient Accumulation Size", value=4, precision=0)
with gr.Row(): with gr.Row():
TRAINING_SETTINGS["save_rate"] = gr.Number(label="Save Frequency (in epochs)", value=5, precision=0) TRAINING_SETTINGS["save_rate"] = gr.Number(label="Save Frequency (in epochs)", value=5, precision=2)
TRAINING_SETTINGS["validation_rate"] = gr.Number(label="Validation Frequency (in epochs)", value=5, precision=0) TRAINING_SETTINGS["validation_rate"] = gr.Number(label="Validation Frequency (in epochs)", value=5, precision=0)
with gr.Row(): with gr.Row():