A.M.N. VoxCPM1.5 LoRA
Single-speaker LoRA adapter selected from checkpoint step 90 after human listening on 110 curated A.M.N. voice clips.
- Base model:
openbmb/VoxCPM1.5 - LoRA: LM + DiT, rank 16, alpha 32
- Native output: 44.1 kHz
- Intended use: the AMNESIAC fictional interrogator voice
Synthetic speech should be disclosed where appropriate. Do not use this adapter for impersonation, fraud, or disinformation.
import soundfile as sf from voxcpm import VoxCPM model = VoxCPM.from_pretrained("hetanshwaghela/amnesiac-voxcpm-lora") 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")