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How to split a song into vocal and music tracks locally with Mini Max H3 Director Cut Studio

Run the Kim_Vocal_2 audio separator on a CUDA GPU to output Vocal, Music and original Mix files.

  • Content
  • Intermediate
  • 1 hour
  • From the README
  • Any agent

Who it is forA music creator or video editor with an NVIDIA CUDA GPU who needs clean vocal and backing tracks for a music video or dub.

The problemIsolating vocals from a mixed song usually means uploading files to a web service or accepting a lower-quality CPU separation.

The outcomeSeparate Vocal, Music and original Mix files produced by a local CUDA server, which the studio can use as audio inputs.

What you need first

  • A Windows PC with ComfyUI installed, plus a high-VRAM machine if you want to run the local server roles described in the README
  • Completed Step 1 deployment (Studio Runtime, Qwen3-TTS and VoxCPM2) from the README's step1.md
  • The model files listed in the README, saved under the exact file names it gives
  • Model and source-footage licenses checked by you; the README says weights are not included in the source code

Steps

  1. Make sure the machine has a CUDA GPU and the complete models/audio-separator model and runtime folder.
  2. Install the CUDA runtime with .\install_audio_separator_cuda_runtime.bat.
  3. Start the local server with .\start_audio_separator_server.bat.
  4. Open the studio with .\run_h3_prompt_studio.bat and use the AUDIO SEPARATOR button on the home page.
  5. Check that the output Vocal and Music files have the expected duration and channels before using them.

Prompt for your agent

Using the repo karuvanan/MiniMax-H3-Director-Cut-Studio, install the CUDA runtime and start the Audio Separator server, then split <audio file path> into Vocal and Music files. Expected output: a Vocal file, a Music file and the original Mix. Verify that the Vocal and Music durations and channel counts match the input before use.

Caveat. The README says the separator refuses to start as Server Mode without a verified CUDAExecutionProvider and does not fall back to CPU, so a machine without a CUDA GPU will only run in Client Mode against a remote server.

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