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At a Glance

Key details about this service to help you decide. Generated by Zinn Hub, not the seller.

Training Architecture

RVC v2 + HiFiGAN
Uses the latest RVC v2 model architecture with HiFiGAN (2nd generation) for higher fidelity voice reproduction compared to older v1 models.

Max Training Depth

Up to 5,000 Epochs
Epoch count scales with your dataset length, meaning longer, cleaner audio inputs can unlock deeper, more accurate voice model training.

Dataset Requirement

Min. 10 Minutes of Audio
Buyers must supply at least 10 minutes of clean, silence-free audio at 44.1 kHz studio quality for the model to train effectively.

Deliverables Included

.pth, .index, TensorBoard + Dataset
You receive all core model files needed to run and deploy the voice model independently, including the index file for improved similarity matching.

Full Description

Premium AI RVC v2 Voice Model Training is Available at a Low Cost! I have 2 years' experience in this specific AI field and with great enthusiasm, I would be delighted to train a model for you.

AI MODEL TRAINING:

  • Training Type: RVC v2
  • Pitch Extraction Method: Rmvpe
  • Epochs: *Depends on Dataset Length*
  • Model Training Architecture: V2 (2nd Version HiFiGAN)
  • Dataset Cleaning Algorithm: UVR 5

ALERT: The required dataset length is at least 10 minutes of audio with no significant silence gaps

WHAT YOU'LL RECEIVE:

  • All model files (.pth)
  • The index file (.index)
  • TensorBoard graph
  • Dataset (only for custom dataset buyers)

Note: Files will be delivered in a (.zip) folder

KEY CONSIDERATIONS:

  1. Please send studio-quality 44.1 kHz voice samples for optimal model performance
  2. Patience is recommended as voice model training requires considerable time and expertise. At least 2 days are required:

- Day 1: Model cleaning and processing

- Day 2: Model training (takes at least 12 hours)

If you require instructions on how to use an RVC v2 model, please contact Zinn Digital ™ based in London, England, and we'd be happy to help!

THANK YOU FOR YOUR COOPERATION - We eagerly look forward to working with you!


This Zinn Will Include (High-Quality
TRAINING + CLEANING)

• High-Quality Voice
• Upto 5000 Epochs*

*Depends on voice dataset length

(KINDLY DM)

Delivery: 2 days

Revisions: Unlimited

Includes:

• Custom voice training data
• Source voice cleaning
• Singing vocals

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Extra Information

Chat With Us

Chat On Telegram:https://t.me/ZinnDigital

Frequently Asked Questions

Well, about 8-50 Minutes of anyone's clean voice would be great to train a really high quality AI RVC Model!

Well, yes! If you select "Custom Dataset" while ordering you'll only have to provide details of the person whose voice you want to clone, so you don't have to make and send me a dataset!

No, not at all. The AI clones the voice, not the language, which means your AI Model can speak or sing in practically any language!

About 8-15 Minutes would be pretty great, but 15-45 Minutes of a dataset would be Ideal for a very good sounding model!

You'll get the following: • .pth files • .index file • TensorBoard Graph

You'll get the following: • .pth files • .index file • TensorBoard Graph • Complete Dataset that was used to train voice

You can use them locally if you have knowledge about RVC or optionally you can upload the models to websites like weights.gg or kits.ai to for the conversion. Though, you can contact me for more information on this 'how to'!

You will own the full usage rights, as I only train models and would not use them for fraudulent, personal or monetary purposes, they will be deleted from my side as soon as possible after the training is completed and the compiled model has been sent over.

Customer Reviews

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SUPERRRRRRR PROFESSIONAL

Thanks for your work, I've enjoyed your professionalism and attention to detail as well as your flexibility. Communication was also great, will be glad to work with you again in future.

Amazing job! Looking forward to work with u again.

Wonderful experience! Neil is excellent, I love working with him! Thank you for everything and see you soon!

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