Instructions to use mlboydaisuke/VoxCPM2-CoreAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- VoxCPM
How to use mlboydaisuke/VoxCPM2-CoreAI with VoxCPM:
import soundfile as sf from voxcpm import VoxCPM model = VoxCPM.from_pretrained("mlboydaisuke/VoxCPM2-CoreAI") wav = model.generate( text="VoxCPM is an innovative end-to-end TTS model from ModelBest, designed to generate highly expressive speech.", prompt_wav_path=None, # optional: path to a prompt speech for voice cloning prompt_text=None, # optional: reference text cfg_value=2.0, # LM guidance on LocDiT, higher for better adherence to the prompt, but maybe worse inference_timesteps=10, # LocDiT inference timesteps, higher for better result, lower for fast speed normalize=True, # enable external TN tool denoise=True, # enable external Denoise tool retry_badcase=True, # enable retrying mode for some bad cases (unstoppable) retry_badcase_max_times=3, # maximum retrying times retry_badcase_ratio_threshold=6.0, # maximum length restriction for bad case detection (simple but effective), it could be adjusted for slow pace speech ) sf.write("output.wav", wav, 16000) print("saved: output.wav") - Notebooks
- Google Colab
- Kaggle
Link the card back to its collection and the request box
Browse files
README.md
CHANGED
|
@@ -114,3 +114,13 @@ feat_decoder / feat_encoder **cos 1.0**, full chain **magspec 0.996**; every exp
|
|
| 114 |
|
| 115 |
Apache-2.0 (commercial OK), inherited from [openbmb/VoxCPM2](https://huggingface.co/openbmb/VoxCPM2).
|
| 116 |
Not affiliated with OpenBMB or Apple. Community port.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 114 |
|
| 115 |
Apache-2.0 (commercial OK), inherited from [openbmb/VoxCPM2](https://huggingface.co/openbmb/VoxCPM2).
|
| 116 |
Not affiliated with OpenBMB or Apple. Community port.
|
| 117 |
+
|
| 118 |
+
<!-- funnel:v1 -->
|
| 119 |
+
|
| 120 |
+
---
|
| 121 |
+
|
| 122 |
+
**More models in this format:** [Core AI Model Zoo](https://huggingface.co/collections/mlboydaisuke/core-ai-model-zoo-6a7ff330f753e8dcae04671a) — 75 models, each with the recipe that produced it.
|
| 123 |
+
|
| 124 |
+
**Want a different model on-device?** [Open a request](https://github.com/john-rocky/on-device-requests) — free, open weights only; the export and its measured numbers get published publicly.
|
| 125 |
+
|
| 126 |
+
<!-- /funnel:v1 -->
|