This bundle contains the Chatterbox Flash T3 token generator and the S3Gen audio back-half as static-shape
.mlmodelc
graphs. It is intended for an application runtime that owns text tokenization, T3 denoising/sampling, reference conditioning, and graph orchestration.
padding/cropping and the two-step meanflow loop over
(t,r) = (0,0.5), (0.5,1.0)
This means the bundle supports voice-cloning TTS when the runtime supplies reference conditioning tensors, but it is not yet a fully Core ML
ref.wav -> cloned wav
pipeline.
Validation
Test
Result
T3 graph roundtrip vs PyTorch wrappers
Pass at 2% relative tolerance
Audio graph roundtrip vs PyTorch wrappers
Pass for token_len 192, mel_len 384
Stitched S3Gen meanflow-to-audio roundtrip
Pass
Prompted synthesis smoke test
Pass
Whisper tiny transcript of generated wav
Core ML speech test.
Smoke-test WER
0.000
Core ML warnings from local export:
CPU_ONLY
prediction crashed for the T3 package in local coremltools 8.3 testing. Use
ALL
,
CPU_AND_NE
, or a compiled-device runtime.
The uploaded artifact ships compiled
.mlmodelc
folders. The numerical parity tests were run against the source
.mlpackage
exports before compilation.
Usage Sketch
The runtime loads graphs from
t3/
and
audio/
, then:
Prepare T3 reference conditioning tensors and S3Gen
ref_dict
tensors from a prompt wav.
Tokenize text with
t3/tokenizer.json
.
Run T3 prefill and block denoising/sampling to produce S3 speech tokens.
Concatenate S3Gen
prompt_token
and generated speech tokens.
Run
audio/FlowEncoder.mlmodelc
.
Build
cond
by copying
prompt_feat.T
into the mel prefix.
Run
audio/FlowEstimator.mlmodelc
twice for
(0,0.5)
and
(0.5,1.0)
.
Crop generated mel frames after the prompt prefix.
Run
audio/HiFTVocoder.mlmodelc
and crop padded samples.
Chatterbox-Flash-CoreML huggingface.co is an AI model on huggingface.co that provides Chatterbox-Flash-CoreML's model effect (), which can be used instantly with this aufklarer Chatterbox-Flash-CoreML model. huggingface.co supports a free trial of the Chatterbox-Flash-CoreML model, and also provides paid use of the Chatterbox-Flash-CoreML. Support call Chatterbox-Flash-CoreML model through api, including Node.js, Python, http.
Chatterbox-Flash-CoreML huggingface.co is an online trial and call api platform, which integrates Chatterbox-Flash-CoreML's modeling effects, including api services, and provides a free online trial of Chatterbox-Flash-CoreML, you can try Chatterbox-Flash-CoreML online for free by clicking the link below.
aufklarer Chatterbox-Flash-CoreML online free url in huggingface.co:
Chatterbox-Flash-CoreML is an open source model from GitHub that offers a free installation service, and any user can find Chatterbox-Flash-CoreML on GitHub to install. At the same time, huggingface.co provides the effect of Chatterbox-Flash-CoreML install, users can directly use Chatterbox-Flash-CoreML installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
Chatterbox-Flash-CoreML install url in huggingface.co: