Model Details
Full Model IDremsky/kokoro-inno-clone-tuner
Pipeline / Tasktext-to-speech
Library—
Downloads (all-time)1.2M
Likes33
Last Modified10/13/2026
Author / Orgremsky
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("text-to-speech", model="remsky/kokoro-inno-clone-tuner")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
safetensorskokoro-inno-reference-tunerkokorovoice-cloningadapterstyletts2text-to-speechendataset:parler-tts/libritts_r_filtereddataset:facebook/voxpopulidataset:amphion/Emilia-Datasetbase_model:hexgrad/Kokoro-82Mbase_model:adapter:hexgrad/Kokoro-82Mlicense:apache-2.0region:us
More text-to-speech Models
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Access model files, inference API, and full documentation on Hugging Face.
Open on Hugging Face →Browse Model Files ↗← Browse All Models🤖 Task: text-to-speech
This model is designed for the text-to-speech task. Explore more models for this use case.
All text-to-speech Models →📊 Popularity
⬇ Downloads1.2M
❤️ Community Likes33
🛠️ Requirements
- →Check docs for installation steps.
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.