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@github-actions github-actions released this 04 Aug 14:08
b2271
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Learn about vigilant mode.

Important change

The voice changer will now constantly utilize CPU/GPU when voice conversion is enabled. This is to address an issue when the voice changer may lag after a short period of silence or demonstrate inconsistent performance that can be observed with NVIDIA GPUs in previous versions.

New

  • "perf" metric now includes a graph. The graph shows data points over last 5 seconds (if chunk size is less than 100ms) or more. Performance graph allows you to see if there're performance fluctuations and adjust chunk size depending on the usage over time.
    performance_graph
  • Most of the settings now include tooltips with explanation. Just hover over the text with dotted underline.
    image
  • When changing settings that may have negative impact on performance in DirectML version, a notification will appear near GPU, asking to switch between CPU and GPU.
    dml_gpu_warning
  • Introduced Just-in-Time (JIT) compilation for PyTorch models. This slightly improves performance (fast response on the first start, a bit lower latency) and reduces memory usage in some cases. However, currently, it increases model loading time. To opt out from JIT compilation, set "Disable JIT compilation" option in Advanced settings to "on". Note that JIT is currently not available for DirectML devices so this option won't have any effect for them.

Changes

  • Increased input volume slider range to 250%

Experimental

  • Version for NVIDIA includes 2 bat files to lock or reset GPU core and memory clocks to address possible inconsistent performance issues. Note that the support for frequency locking is not guaranteed by all NVIDIA GPUs, you can verify that the option took effect with GPU-Z. Both scripts must run with administrator rights to take effect:
    • force_gpu_clocks.bat - queries GPU core and memory clocks and locks to reported maximum clocks.
    • reset_gpu_clocks.bat - resets GPU core and memory frequencies.
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