mrq/ai-voice-cloning
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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
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4
README.md
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@ -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).
@ -16,4 +16,4 @@ Please consult [the wiki](https://git.ecker.tech/mrq/ai-voice-cloning/wiki) for
## Bug Reporting ## Bug Reporting
If you run into any problems, please refer to the [issues you may encounter](https://git.ecker.tech/mrq/ai-voice-cloning/wiki/Issues) wiki page first. If you run into any problems, please refer to the [issues you may encounter](https://git.ecker.tech/mrq/ai-voice-cloning/wiki/Issues) wiki page first.

2
src/webui.py
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@ -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():