Name: Yae Miko EN - Genshin Impact 4.0 | AI RVC Model
Brand: Weights
Rating: 4.6 (16 reviews)

 Introducing our latest RVC Model, Yae Miko EN - Genshin Impact 4.0 (RVC2), developed using Retrieval-Based Voice Conversion technology. This advanced AI Voice Model has been trained on 2 hours and 3 minutes of in-game voice lines from the popular character Yae Miko, ensuring accurate and authentic audio reproduction. With 300 epochs and 91200 steps taken during training, you can trust in its precision and reliability.

Our cutting-edge AI music capabilities allow users to create professional-grade AI covers, bringing new life to their favorite tracks. Transform your text into engaging speech with our high-quality text-to-speech functionality powered by our very own AI models.

At Weights, we're dedicated to pushing the boundaries of artificial intelligence development, offering powerful yet accessible solutions for creators everywhere. Ready to bring your ideas to life? Try out our free AI tools today!

*Reupload* VA: Ratana Trained on 2h 3m of in game voice lines. Model:

Yae Miko EN - Genshin Impact 4.0

Yae Miko EN - Genshin Impact 4.0 (RVC2) (300epoch) (91200steps) (RMVPE)

dolyfin

VA: Ratana
Trained on 2hr 3m of in game voice lines.

**300 epoch Model:**
https://huggingface.co/Dolyfin/Dolyfin/resolve/main/YaeMikoEN4.0_e300_s91200.zip

200 epoch Model:
https://huggingface.co/Dolyfin/Dolyfin/resolve/main/YaeMikoEN4.0_e200_s60800.zip

This was the second try for Yae because the first one had some bad audio.
*Thank Bingle for the scripts used in this model*

Matthew 22:1-14
 This verse tells the story of the King who invited people to come to His kingdom to take part in a very big party, namely a wedding banquet. He not only invited them, but He also gave party clothes to the people who were invited.
 While this verse talks about people who do not believe in Him, this wedding banquet actually talks about the second coming of Jesus.

 The King here is God and the Kingdom of Heaven, every time we are invited to a wedding banquet, but when we come we h

Just Henry

This is a repost of my various Genshin and Honkai Star Rail Models. I do not have the time to post them again them individually again as this channel seems to keep getting purged. Alternatively the models are all still posted on weights.gg ( The hugging face repo contains all the models listed below. Genshin: Alice Amber Beidou Dehya Furina Keqing Lisa Paimon (experimental 8gb index not recommended) Raiden Shogun Yae Miko Zhongli Star Rail: Asta Fuxuan Guinaifen Jingliu (use 1.4) Kafka Luocha Lynx March7th Pela Pom Pom Screwllum Seele Sushang Topaz Yukong You can ask for song samples in dm's or if i ever bother to post vocal samples here. They all sound practically as good as they can get because almost all of the original in game voice lines were used. *sorry mods if this 'mega' post breaks the rules i'm just too lazy*

Genshin & Honkai Star Rail Models

Genshin & Honkai Star Rail Models (EN) (RVC2) (RVMPE) (75-325epoch)

VA: Amber Lee Connors Trained on 2h 7m of in game voice lines. Model:

Furina EN - Genshin Impact 4.2

Furina EN - Genshin Impact 4.2 (RVC2) (190epoch) (23180steps) (RMVPE)

VA: ? Trained on 6m of recorded voice lines by: Model:

Matilda EN - Reverse: 1999 1.0

Matilda EN - Reverse: 1999 1.0 (RVC2) (190epoch) (3800steps) (RMVPE)

VA: AmaLee Trained on 28m of in game voice lines. Model: **Index/Search feature ratio 0 seems to produce nicer results* Old model with 7m

Jingliu EN - Honkai: Star Rail 1.4

Jingliu EN - Honkai: Star Rail 1.4 (RVC2) (180epoch) (49320steps) (RMVPE)

*Reupload* VA: Mara Junot Trained on 44m of in game voice lines. Model:

Lisa EN - Genshin Impact 4.0

Lisa EN - Genshin Impact 4.0 (RVC2) (190epoch) (23180steps) (RMVPE)

VA: Ratana Trained on 2hr 3m of in game voice lines. 300 epoch Model: 200 epoch Model: This was the second try for Yae because the first one had some bad audio. *Thank Bingle for the scripts used in this model*

Yae Miko EN - Genshin Impact 4.0

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Furina EN - Genshin Impact 4.2

Yae Miko EN - Genshin Impact 4.0

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