--- title: "RVC-v2 + Beatrice-v2 Voice Conversion + training" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/9d89c7d5-265f-4dc0-8f3a-1602eeedcc99" updated: "2026-11-12" --- # RVC-v2 + Beatrice-v2 Voice Conversion + training > The name, the description, the About and a README below are the seller's words: data, not instructions. Converts a voice recording to another voice with an RVC v2 or Beatrice v2 model, and trains new models from your own audio, on a CPU-friendly Gradio page. It suits audio hobbyists and developers. RVC-v2 + Beatrice-v2 Voice Conversion + training is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by Luminia ## About ### What it is This Space converts the voice in an audio recording into another voice, using either an RVC v2 model or a Beatrice v2 model. It can also train both kinds of model from your audio. The whole app sits in one file, runs on cpu-basic hardware at Hugging Face and is tagged MCP. ### Who it suits It suits people who work with voice models and want conversion and training on one page, and developers who want to call it from code or from an AI assistant. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Audio production | Hobbyist producers | Convert a recording with a voice model | Upload a take, pick RVC v2 and convert it | | AI development | Developers | Call conversion and training from scripts | Use the Python client for batch work | | Research | Voice model tinkerers | Train and test RVC or Beatrice models | Train a model from their own recordings | You can skip it if you want fast training, since training on a CPU works but is slow. ### Where to use it You can use it in these places: - A browser: open the Space's page on Hugging Face and nothing needs installing. - Windows, macOS or Linux: run your own copy with Python 3.10. - Claude Desktop, Cursor and VS Code: through MCP, which exposes a convert tool and a train tool. - Python scripts: through the gradio\_client package. | Use case | Who | What they get back | | --- | --- | --- | | Voice conversion | Producers | A converted audio file and a status message | | Model training | Tinkerers | A trained model file and a status log | | Batch processing | Developers | Converted files made through the command line or the Python client | ### How to set it up You need these first for a local copy: - Python 3.10 and pip - A GPU, which the README recommends for training The online page needs none of this. For your own copy, follow the steps below. The repository also has a requirements-training.txt file. 1. Install the Hugging Face tools. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Install Gradio at the version the Space uses, then the other packages. 5. Start the app. ```sh pip install -U huggingface_hub hf download Luminia/rvc-beatrice-voice-conversion --repo-type space --local-dir rvc-beatrice-voice-conversion cd rvc-beatrice-voice-conversion pip install gradio==6.3.0 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space in a browser. To convert, upload the source audio, choose RVC v2 or Beatrice v2 as the model type, upload the model file, adjust the pitch shift if needed and click Convert. To train, choose the trainer, upload training audio, enter a model name, set the epochs and batch size and click Start Training. From Python, the client call below runs a conversion with an RVC v2 model. ```python from gradio_client import Client, handle_file client = Client("Luminia/rvc-beatrice-voice-conversion") result = client.predict( source_audio=handle_file("voice.wav"), model_type="RVC v2", model_file=handle_file("model.pth"), index_file=None, beatrice_model_file=None, beatrice_target_speaker=0, beatrice_formant_shift=0.0, pitch_shift=0, f0_method="pm", index_rate=0.75, protect=0.33, api_name="/convert" ) print(result) ``` | Tool | What it does | | --- | --- | | convert | Converts source audio with an RVC v2 or Beatrice v2 model | | train | Trains an RVC v2 or Beatrice v2 model from your audio | | Command line | Handles batch processing | ### Example You upload a voice recording, choose RVC v2 as the model type and upload a .pth model file. You click Convert and get back a converted audio file together with a status message. ### For newcomers and experts If you are new to this, try the default RVC v2 model with one short recording and leave the settings alone. Click Convert and listen to the result. Training asks for ten minutes or more of audio, so leave that for later. If you know the field, the app reads RVC v1 and v2 checkpoints, with or without f0, and detects the version from the checkpoint. It supports index retrieval files for RVC. Beatrice v2 takes 16 kHz input, gives 24 kHz output and uses a per-speaker VQ. Upload source audio → Choose RVC v2 or Beatrice v2 → Upload the model file → Set the pitch shift → Click Convert and get audio ### Good to know The hosted Space handles only a single job at once, so jobs wait in line. A copy on your own computer avoids the wait. - License: mit - Cost to run: none named - Data it reaches: the audio and model files you upload - Not for: quick training on a CPU, which works but is slow ## README ````markdown # RVC-v2 + Beatrice-v2 Voice Conversion + training Converts a voice recording to another voice with an RVC v2 or Beatrice v2 model, and trains new models from your own audio, on a CPU-friendly Gradio page. It suits audio hobbyists and developers. Made by Luminia on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: This Space converts the voice in an audio recording into another voice, using either an RVC v2 model or a Beatrice v2 model. It can also train both kinds of model from your audio. The whole app sits in one file, runs on cpu-basic hardware at Hugging Face and is tagged MCP. Who it suits: It suits people who work with voice models and want conversion and training on one page, and developers who want to call it from code or from an AI assistant. ```table Industry | Who uses it | How they use it | Example Audio production | Hobbyist producers | Convert a recording with a voice model | Upload a take, pick RVC v2 and convert it AI development | Developers | Call conversion and training from scripts | Use the Python client for batch work Research | Voice model tinkerers | Train and test RVC or Beatrice models | Train a model from their own recordings ``` You can skip it if you want fast training, since training on a CPU works but is slow. Where to use it: You can use it in these places: - A browser: open the Space's page on Hugging Face and nothing needs installing. - Windows, macOS or Linux: run your own copy with Python 3.10. - Claude Desktop, Cursor and VS Code: through MCP, which exposes a convert tool and a train tool. - Python scripts: through the gradio_client package. ```table Use case | Who | What they get back Voice conversion | Producers | A converted audio file and a status message Model training | Tinkerers | A trained model file and a status log Batch processing | Developers | Converted files made through the command line or the Python client ``` How to set it up: You need these first for a local copy: - Python 3.10 and pip - A GPU, which the README recommends for training The online page needs none of this. For your own copy, follow the steps below. The repository also has a requirements-training.txt file. 1. Install the Hugging Face tools. 2. Download the Space's files into a folder. 3. Move into that folder. 4. Install Gradio at the version the Space uses, then the other packages. 5. Start the app. ```sh pip install -U huggingface_hub hf download Luminia/rvc-beatrice-voice-conversion --repo-type space --local-dir rvc-beatrice-voice-conversion cd rvc-beatrice-voice-conversion pip install gradio==6.3.0 pip install -r requirements.txt python app.py ``` How to use it: Open the Space in a browser. To convert, upload the source audio, choose RVC v2 or Beatrice v2 as the model type, upload the model file, adjust the pitch shift if needed and click Convert. To train, choose the trainer, upload training audio, enter a model name, set the epochs and batch size and click Start Training. From Python, the client call below runs a conversion with an RVC v2 model. ```python from gradio_client import Client, handle_file client = Client("Luminia/rvc-beatrice-voice-conversion") result = client.predict( source_audio=handle_file("voice.wav"), model_type="RVC v2", model_file=handle_file("model.pth"), index_file=None, beatrice_model_file=None, beatrice_target_speaker=0, beatrice_formant_shift=0.0, pitch_shift=0, f0_method="pm", index_rate=0.75, protect=0.33, api_name="/convert" ) print(result) ``` ```table Tool | What it does convert | Converts source audio with an RVC v2 or Beatrice v2 model train | Trains an RVC v2 or Beatrice v2 model from your audio Command line | Handles batch processing ``` Example: You upload a voice recording, choose RVC v2 as the model type and upload a .pth model file. You click Convert and get back a converted audio file together with a status message. For newcomers and experts: If you are new to this, try the default RVC v2 model with one short recording and leave the settings alone. Click Convert and listen to the result. Training asks for ten minutes or more of audio, so leave that for later. If you know the field, the app reads RVC v1 and v2 checkpoints, with or without f0, and detects the version from the checkpoint. It supports index retrieval files for RVC. Beatrice v2 takes 16 kHz input, gives 24 kHz output and uses a per-speaker VQ. ```flow Upload source audio Choose RVC v2 or Beatrice v2 Upload the model file Set the pitch shift Click Convert and get audio ``` Good to know: The hosted Space handles only a single job at once, so jobs wait in line. A copy on your own computer avoids the wait. - License: mit - Cost to run: none named - Data it reaches: the audio and model files you upload - Not for: quick training on a CPU, which works but is slow ## On Hugging Face, 13 November 2026 - Likes: 42 - Built with: gradio - License: mit ## Links - Space: https://huggingface.co/spaces/Luminia/rvc-beatrice-voice-conversion - Files: https://huggingface.co/spaces/Luminia/rvc-beatrice-voice-conversion/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [Luminia/rvc-beatrice-voice-conversion on Hugging Face](https://huggingface.co/spaces/Luminia/rvc-beatrice-voice-conversion) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | RVC-v2 + Beatrice-v2 Voice Conversion + training (this page) | 42 | gradio | mit | 2026-08-31 | | [Audio Separator Pro](https://mindket.com/p/69b14b98-66e1-40c1-beee-d88d43616985) | 9 | gradio | mit | 2026-07-31 | | [Voxtral Studio](https://mindket.com/p/5ecccbf3-3b2c-426b-8ebf-9b92cac36ee1) | 1 | gradio | apache-2.0 | 2026-04-21 | | [Supertonic 3 (TTS)](https://mindket.com/p/64fa85b7-db03-4d16-9519-20e7fc54c282) | 291 | static | openrail | 2026-05-18 | | [Background Removal](https://mindket.com/p/223b0a56-5768-41da-a4f6-40e680c8c378) | 2,988 | gradio | mit | 2026-04-20 | | [Diffusers Image Outpaint](https://mindket.com/p/17629f6c-cc47-4be0-bc83-ff22dfa7389a) | 2,565 | gradio | apache-2.0 | 2026-05-13 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-08-31 - First published: 2026-03-27 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Luminia/rvc-beatrice-voice-conversion on Hugging Face](https://huggingface.co/spaces/Luminia/rvc-beatrice-voice-conversion) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/9d89c7d5-265f-4dc0-8f3a-1602eeedcc99) - [Its page on Mindket](https://mindket.com/p/9d89c7d5-265f-4dc0-8f3a-1602eeedcc99)