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10 Commits
e44c9b4add ... dfb907a02b

Author SHA1 Message Date
Daniel Tang
dfb907a02b Enable Python 3.13 (#244) 
Tested working with `kokoro -t Hello -o test.wav`. This is needed for
Ubuntu 25.04.
 2025-08-06 15:28:53 -07:00
ArEnSc
d4ef0569c7 Bugfix/crash loading voice (#248) 
* add voice data url getter and setter

* Ok Voices.js removing types

* Match the function style.

* Actually use the url for the voice file.

---------

Co-authored-by: CrossPr0duct <alicextensor@gmail.com>
 2025-08-06 15:28:29 -07:00
styagi130
f1d129d835 Feat: batch support for onnx and triton compatibility (#239) 
* Added batch support

Signed-off-by: Siddharth Tyagi <siddhartht@nvidia.com>

* file rename

Signed-off-by: Siddharth Tyagi <siddhartht@nvidia.com>

---------

Signed-off-by: Siddharth Tyagi <siddhartht@nvidia.com>
Co-authored-by: Siddharth Tyagi <siddhartht@nvidia.com>
 2025-07-25 17:49:52 -07:00
ArEnSc
d7654ba4e8 Feature/get set voice url (#236) 
* add voice data url getter and setter

* Ok Voices.js removing types

* Match the function style.
 2025-07-09 14:56:34 -07:00
Kartikeya Mishra
2760831139 feat: set custom cache directory (#227) 2025-06-30 13:52:07 -07:00
Eric Izoita
4b647d371e Fix a couple minor warnings (#210) 
* use non-deprecated import path of weight_norm

* don't pass dropout to single layer LSTM

per the docs, dropout is not applied to the last LSTM layer, so there is
no effect to passing it when `num_layers=1`.
 2025-06-30 13:50:50 -07:00
Joshua Lochner
2668b2e279 [kokoro-js] Expose wasmPaths environment variables to users (#190) 
* Bump dependency versions

* Expose wasmPaths from transformers.js

* Update syntax to be bundler friendly

* Bump transformers.js version

* Bump demo versions

* Update vite config

* [version] Update to 1.2.1
 2025-05-03 09:31:18 -07:00
fondoger
6d87f4ae7a Enable MPS GPU Accerlation on MacOS (#164) 
* Enable MPS GPU Accerlation on MacOS

* Fix
 2025-04-10 11:40:25 -07:00
hexgrad
1c7bdd971d Bump to 0.9.4 (#169) 2025-04-05 15:00:22 -07:00
Omar Irfan Khan
4f5106e327 adding instructions for setting up espeak-ng on windows (#143) 2025-04-01 10:54:49 -07:00
14 changed files with 1282 additions and 1139 deletions
Expand all files Collapse all files

22
README.md
View File

@@ -7,7 +7,7 @@ An inference library for [Kokoro-82M](https://huggingface.co/hexgrad/Kokoro-82M)
### Usage
You can run this basic cell on [Google Colab](https://colab.research.google.com/). [Listen to samples](https://huggingface.co/hexgrad/Kokoro-82M/blob/main/SAMPLES.md).
```py
!pip install -q kokoro>=0.9.2 soundfile
!pip install -q kokoro>=0.9.4 soundfile
!apt-get -qq -y install espeak-ng > /dev/null 2>&1
from kokoro import KPipeline
from IPython.display import display, Audio
@@ -29,8 +29,7 @@ Under the hood, `kokoro` uses [`misaki`](https://pypi.org/project/misaki/), a G2
You can run this advanced cell on [Google Colab](https://colab.research.google.com/).
```py
# 1️⃣ Install kokoro
!pip install -q kokoro>=0.9.2 soundfile
!pip install -q kokoro>=0.9.4 soundfile
# 2️⃣ Install espeak, used for English OOD fallback and some non-English languages
!apt-get -qq -y install espeak-ng > /dev/null 2>&1
@@ -87,6 +86,23 @@ for i, (gs, ps, audio) in enumerate(generator):
sf.write(f'{i}.wav', audio, 24000) # save each audio file
```
### Windows Installation
To install espeak-ng on Windows:
1. Go to [espeak-ng releases](https://github.com/espeak-ng/espeak-ng/releases)
2. Click on **Latest release**
3. Download the appropriate `*.msi` file (e.g. **espeak-ng-20191129-b702b03-x64.msi**)
4. Run the downloaded installer
For advanced configuration and usage on Windows, see the [official espeak-ng Windows guide](https://github.com/espeak-ng/espeak-ng/blob/master/docs/guide.md)
### MacOS Apple Silicon GPU Acceleration
On Mac M1/M2/M3/M4 devices, you can explicitly specify the environment variable `PYTORCH_ENABLE_MPS_FALLBACK=1` to enable GPU acceleration.
```bash
PYTORCH_ENABLE_MPS_FALLBACK=1 python run-your-kokoro-script.py
```
### Conda Environment
Use the following conda `environment.yml` if you're facing any dependency issues.
```yaml

5
examples/export.py
View File

@@ -26,8 +26,9 @@ def export_onnx(model, output):
output_names = [ 'waveform', 'duration' ],
opset_version = 17,
dynamic_axes = {
'input_ids': { 1: 'input_ids_len' },
'waveform': { 0: 'num_samples' },
'input_ids': {0: "batch_size", 1: 'input_ids_len' },
'style': {0: "batch_size"},
"speed": {0: "batch_size"}
},
do_constant_folding = True,
)

92
examples/make_triton_compatible.py Normal file
View File

@@ -0,0 +1,92 @@
"""
This script makes the ONNX model compatible with Triton inference server.
"""
import sys
import numpy as np
import onnx
import onnxruntime as ort
import onnx_graphsurgeon as gs
def add_squeeze(graph, speed_input, speed_unsqueezed):
"""
Add squeeze operation to the speed input to change shape from [batch_size, 1] to [batch_size]
"""
# Create a squeeze node
squeeze_node = gs.Node(
op="Squeeze",
name="speed_squeeze",
inputs=[speed_unsqueezed],
outputs=[gs.Variable(name="speed_squeezed", dtype=speed_unsqueezed.dtype)]
)
## Find first node that has speed_unsqueezed as input
insert_idx = 0
for idx, node in enumerate(graph.nodes):
for i, input_name in enumerate(node.inputs):
if input_name.name == speed_unsqueezed.name:
insert_idx = idx
break
if insert_idx != 0:
break
## Add squeeze node to the graph
insert_idx = min(0, insert_idx - 1)
graph.nodes.insert(insert_idx, squeeze_node)
# Update the speed input to point to the squeezed output
for node in graph.nodes:
for i, input_name in enumerate(node.inputs):
if input_name.name == speed_input.name and not node.name == "speed_squeeze":
node.inputs[i] = squeeze_node.outputs[0]
return graph
def main():
if len(sys.argv) != 2:
print("Usage: python make_triton_compatible.py <onnx_model_path>")
sys.exit(1)
onnx_model_path = sys.argv[1]
onnx_model = onnx.load(onnx_model_path)
onnx.checker.check_model(onnx_model)
print("Model is valid")
graph = gs.import_onnx(onnx_model)
## get input_id for speed
speed_idx, speed = None, None
for idx, input_ in enumerate(graph.inputs):
if input_.name=="speed":
speed_idx = idx
speed = input_
# Update the speed input to have shape [batch_size, 1]
speed_unsqueezed = gs.Variable(name="speed", dtype=speed.dtype, shape=[speed.shape[0], 1])
graph.inputs[speed_idx] = speed_unsqueezed
## Add squeeze to change speed shape from [batch_size, 1] to [batch_size]
if speed is not None:
print(f"Found speed input: {speed.name}")
print(f"Found speed input shape: {speed.shape}")
print(f"Found speed input dtype: {speed.dtype}")
print(f"Found speed input: {speed}")
print(f"Found speed input: {type(speed)}")
graph = add_squeeze(graph, speed, speed_unsqueezed)
# Export the modified graph back to ONNX
modified_model = gs.export_onnx(graph)
onnx.checker.check_model(modified_model)
# Save the modified model
output_path = onnx_model_path.replace('.onnx', '_triton.onnx')
onnx.save(modified_model, output_path)
print(f"Modified model saved to: {output_path}")
else:
print("Speed input not found in the model")
if __name__ == "__main__":
main()

559
kokoro.js/demo/package-lock.json generated
View File

@@ -31,10 +31,10 @@
},
"..": {
"name": "kokoro-js",
"version": "1.1.0",
"version": "1.2.1",
"license": "Apache-2.0",
"dependencies": {
"@huggingface/transformers": "^3.3.3",
"@huggingface/transformers": "^3.5.1",
"phonemizer": "^1.2.1"
},
"devDependencies": {
@@ -43,7 +43,7 @@
"prettier": "3.4.2",
"rollup": "^4.30.1",
"typescript": "^5.7.3",
"vitest": "^2.1.8"
"vitest": "^3.1.2"
}
},
"node_modules/@alloc/quick-lru": {
@@ -72,14 +72,15 @@
}
},
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"version": "7.26.2",
"resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.26.2.tgz",
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"version": "7.27.1",
"resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.27.1.tgz",
"integrity": "sha512-cjQ7ZlQ0Mv3b47hABuTevyTuYN4i+loJKGeV9flcCgIK37cCXRh+L1bd3iBHlynerhQ7BhCkn2BPbQUL+rGqFg==",
"dev": true,
"license": "MIT",
"dependencies": {
"@babel/helper-validator-identifier": "^7.25.9",
"@babel/helper-validator-identifier": "^7.27.1",
"js-tokens": "^4.0.0",
"picocolors": "^1.0.0"
"picocolors": "^1.1.1"
},
"engines": {
"node": ">=6.9.0"
@@ -196,19 +197,21 @@
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"node_modules/@babel/helper-string-parser": {
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"dev": true,
"license": "MIT",
"engines": {
"node": ">=6.9.0"
}
},
"node_modules/@babel/helper-validator-identifier": {
"version": "7.25.9",
"resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.25.9.tgz",
"integrity": "sha512-Ed61U6XJc3CVRfkERJWDz4dJwKe7iLmmJsbOGu9wSloNSFttHV0I8g6UAgb7qnK5ly5bGLPd4oXZlxCdANBOWQ==",
"version": "7.27.1",
"resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.27.1.tgz",
"integrity": "sha512-D2hP9eA+Sqx1kBZgzxZh0y1trbuU+JoDkiEwqhQ36nodYqJwyEIhPSdMNd7lOm/4io72luTPWH20Yda0xOuUow==",
"dev": true,
"license": "MIT",
"engines": {
"node": ">=6.9.0"
}
@@ -223,25 +226,27 @@
}
},
"node_modules/@babel/helpers": {
"version": "7.26.0",
"resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.26.0.tgz",
"integrity": "sha512-tbhNuIxNcVb21pInl3ZSjksLCvgdZy9KwJ8brv993QtIVKJBBkYXz4q4ZbAv31GdnC+R90np23L5FbEBlthAEw==",
"version": "7.27.1",
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"dev": true,
"license": "MIT",
"dependencies": {
"@babel/template": "^7.25.9",
"@babel/types": "^7.26.0"
"@babel/template": "^7.27.1",
"@babel/types": "^7.27.1"
},
"engines": {
"node": ">=6.9.0"
}
},
"node_modules/@babel/parser": {
"version": "7.26.2",
"resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.26.2.tgz",
"integrity": "sha512-DWMCZH9WA4Maitz2q21SRKHo9QXZxkDsbNZoVD62gusNtNBBqDg9i7uOhASfTfIGNzW+O+r7+jAlM8dwphcJKQ==",
"version": "7.27.1",
"resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.27.1.tgz",
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"dev": true,
"license": "MIT",
"dependencies": {
"@babel/types": "^7.26.0"
"@babel/types": "^7.27.1"
},
"bin": {
"parser": "bin/babel-parser.js"
@@ -281,14 +286,15 @@
}
},
"node_modules/@babel/template": {
"version": "7.25.9",
"resolved": "https://registry.npmjs.org/@babel/template/-/template-7.25.9.tgz",
"integrity": "sha512-9DGttpmPvIxBb/2uwpVo3dqJ+O6RooAFOS+lB+xDqoE2PVCE8nfoHMdZLpfCQRLwvohzXISPZcgxt80xLfsuwg==",
"version": "7.27.1",
"resolved": "https://registry.npmjs.org/@babel/template/-/template-7.27.1.tgz",
"integrity": "sha512-Fyo3ghWMqkHHpHQCoBs2VnYjR4iWFFjguTDEqA5WgZDOrFesVjMhMM2FSqTKSoUSDO1VQtavj8NFpdRBEvJTtg==",
"dev": true,
"license": "MIT",
"dependencies": {
"@babel/code-frame": "^7.25.9",
"@babel/parser": "^7.25.9",
"@babel/types": "^7.25.9"
"@babel/code-frame": "^7.27.1",
"@babel/parser": "^7.27.1",
"@babel/types": "^7.27.1"
},
"engines": {
"node": ">=6.9.0"
@@ -322,22 +328,23 @@
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"node_modules/@babel/types": {
"version": "7.26.0",
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"dev": true,
"license": "MIT",
"dependencies": {
"@babel/helper-string-parser": "^7.25.9",
"@babel/helper-validator-identifier": "^7.25.9"
"@babel/helper-string-parser": "^7.27.1",
"@babel/helper-validator-identifier": "^7.27.1"
},
"engines": {
"node": ">=6.9.0"
}
},
"node_modules/@esbuild/aix-ppc64": {
"version": "0.24.2",
"resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.24.2.tgz",
"integrity": "sha512-thpVCb/rhxE/BnMLQ7GReQLLN8q9qbHmI55F4489/ByVg2aQaQ6kbcLb6FHkocZzQhxc4gx0sCk0tJkKBFzDhA==",
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"cpu": [
"ppc64"
],
@@ -352,9 +359,9 @@
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},
"node_modules/@esbuild/android-arm": {
"version": "0.24.2",
"resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.24.2.tgz",
"integrity": "sha512-tmwl4hJkCfNHwFB3nBa8z1Uy3ypZpxqxfTQOcHX+xRByyYgunVbZ9MzUUfb0RxaHIMnbHagwAxuTL+tnNM+1/Q==",
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"cpu": [
"arm"
],
@@ -369,9 +376,9 @@
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"node_modules/@esbuild/android-arm64": {
"version": "0.24.2",
"resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.24.2.tgz",
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"cpu": [
"arm64"
],
@@ -386,9 +393,9 @@
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"node_modules/@esbuild/android-x64": {
"version": "0.24.2",
"resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.24.2.tgz",
"integrity": "sha512-B6Q0YQDqMx9D7rvIcsXfmJfvUYLoP722bgfBlO5cGvNVb5V/+Y7nhBE3mHV9OpxBf4eAS2S68KZztiPaWq4XYw==",
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"cpu": [
"x64"
],
@@ -403,9 +410,9 @@
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"version": "0.24.2",
"resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.24.2.tgz",
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"cpu": [
"arm64"
],
@@ -420,9 +427,9 @@
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"resolved": "https://registry.npmjs.org/@esbuild/darwin-x64/-/darwin-x64-0.24.2.tgz",
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"cpu": [
"x64"
],
@@ -437,9 +444,9 @@
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"cpu": [
"arm64"
],
@@ -454,9 +461,9 @@
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"cpu": [
"x64"
],
@@ -471,9 +478,9 @@
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@@ -1268,9 +1289,9 @@
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@@ -1282,9 +1303,9 @@
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@@ -2283,31 +2305,31 @@
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@@ -4356,13 +4378,13 @@
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@@ -4372,25 +4394,26 @@
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},
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}
},
@@ -4875,6 +4898,51 @@
"node": ">=0.8"
}
},
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"dev": true,
"license": "MIT",
"dependencies": {
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"picomatch": "^4.0.2"
},
"engines": {
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},
"funding": {
"url": "https://github.com/sponsors/SuperchupuDev"
}
},
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"dev": true,
"license": "MIT",
"peerDependencies": {
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},
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}
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"dev": true,
"license": "MIT",
"engines": {
"node": ">=12"
},
"funding": {
"url": "https://github.com/sponsors/jonschlinkert"
}
},
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"resolved": "https://registry.npmjs.org/to-regex-range/-/to-regex-range-5.0.1.tgz",
@@ -5053,15 +5121,18 @@
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"integrity": "sha512-RjjMipCKVoR4hVfPY6GQTgveinjNuyLw+qruksLDvA5ktI1150VmcMBKmQaEWJhg/j6Uaf6dNCNA0AfdzUb/hQ==",
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"license": "MIT",
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"postcss": "^8.5.3",
"rollup": "^4.34.9",
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},
"bin": {
"vite": "bin/vite.js"
@@ -5124,6 +5195,34 @@
}
}
},
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"dev": true,
"license": "MIT",
"peerDependencies": {
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},
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}
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"dev": true,
"license": "MIT",
"engines": {
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},
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1
kokoro.js/demo/vite.config.js
View File

@@ -8,5 +8,4 @@ export default defineConfig({
build: {
target: "esnext",
},
logLevel: process.env.NODE_ENV === "development" ? "error" : "info",
});

1649
kokoro.js/package-lock.json generated
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File diff suppressed because it is too large Load Diff

8
kokoro.js/package.json
View File

@@ -1,6 +1,6 @@
{
"name": "kokoro-js",
"version": "1.2.0",
"version": "1.2.1",
"type": "module",
"exports": {
"types": "./types/kokoro.d.ts",
@@ -8,7 +8,7 @@
"import": "./dist/kokoro.js",
"require": "./dist/kokoro.cjs"
},
"default": "./dist/kokoro.web.js"
"default": "./dist/kokoro.js"
},
"scripts": {
"build": "rm -rf dist types && rollup -c && tsc && cp ../LICENSE LICENSE",
@@ -34,7 +34,7 @@
"license": "Apache-2.0",
"description": "High-quality text-to-speech for the web",
"dependencies": {
"@huggingface/transformers": "^3.3.3",
"@huggingface/transformers": "^3.5.1",
"phonemizer": "^1.2.1"
},
"devDependencies": {
@@ -43,7 +43,7 @@
"prettier": "3.4.2",
"rollup": "^4.30.1",
"typescript": "^5.7.3",
"vitest": "^2.1.8"
"vitest": "^3.1.2"
},
"files": [
"types",

17
kokoro.js/src/kokoro.js
View File

@@ -1,4 +1,4 @@
import { StyleTextToSpeech2Model, AutoTokenizer, Tensor, RawAudio } from "@huggingface/transformers";
import { env as hf, StyleTextToSpeech2Model, AutoTokenizer, Tensor, RawAudio } from "@huggingface/transformers";
import { phonemize } from "./phonemize.js";
import { TextSplitterStream } from "./splitter.js";
import { getVoiceData, VOICES } from "./voices.js";
@@ -149,4 +149,19 @@ export class KokoroTTS {
}
}
export const env = {
set cacheDir(value) {
hf.cacheDir = value
},
get cacheDir() {
return hf.cacheDir
},
set wasmPaths(value) {
hf.backends.onnx.wasm.wasmPaths = value;
},
get wasmPaths() {
return hf.backends.onnx.wasm.wasmPaths;
},
};
export { TextSplitterStream };

34
kokoro.js/src/voices.js
View File

@@ -418,7 +418,35 @@ export const VOICES = Object.freeze({
// },
});
const VOICE_DATA_URL = "https://huggingface.co/onnx-community/Kokoro-82M-v1.0-ONNX/resolve/main/voices";
/**
* The base URL for fetching voice data files.
*/
let voiceDataUrl = "https://huggingface.co/onnx-community/Kokoro-82M-v1.0-ONNX/resolve/main/voices";
/**
* Retrieves the current voice data URL.
*
* @returns The current voice data URL.
*/
export function getVoiceDataUrl() {
return voiceDataUrl;
};
/**
* Sets a new voice data URL.
*
* @param url - The new URL to set for voice data.
* @throws Will throw an error if the URL is not a valid non-empty string.
*/
export function setVoiceDataUrl(url) {
if (typeof url === 'string' && url.trim() !== '') {
voiceDataUrl = url;
} else {
throw new Error("Invalid URL");
}
};
/**
*
@@ -426,14 +454,14 @@ const VOICE_DATA_URL = "https://huggingface.co/onnx-community/Kokoro-82M-v1.0-ON
* @returns {Promise<ArrayBufferLike>}
*/
async function getVoiceFile(id) {
if (fs?.readFile) {
if (fs && Object.hasOwn(fs, 'readFile')) {
const dirname = typeof __dirname !== "undefined" ? __dirname : import.meta.dirname;
const file = path.resolve(dirname, `../voices/${id}.bin`);
const { buffer } = await fs.readFile(file);
return buffer;
}
const url = `${VOICE_DATA_URL}/${id}.bin`;
const url = `${voiceDataUrl}/${id}.bin`;
let cache;
try {

2
kokoro/__init__.py
View File

@@ -1,4 +1,4 @@
__version__ = '0.9.2'
__version__ = '0.9.4'
from loguru import logger
import sys

2
kokoro/istftnet.py
View File

@@ -1,6 +1,6 @@
# ADAPTED from https://github.com/yl4579/StyleTTS2/blob/main/Modules/istftnet.py
from kokoro.custom_stft import CustomSTFT
from torch.nn.utils import weight_norm
from torch.nn.utils.parametrizations import weight_norm
import math
import torch
import torch.nn as nn

4
kokoro/modules.py
View File

@@ -1,6 +1,6 @@
# https://github.com/yl4579/StyleTTS2/blob/main/models.py
from .istftnet import AdainResBlk1d
from torch.nn.utils import weight_norm
from torch.nn.utils.parametrizations import weight_norm
from transformers import AlbertModel
import numpy as np
import torch
@@ -139,7 +139,7 @@ class DurationEncoder(nn.Module):
super().__init__()
self.lstms = nn.ModuleList()
for _ in range(nlayers):
self.lstms.append(nn.LSTM(d_model + sty_dim, d_model // 2, num_layers=1, batch_first=True, bidirectional=True, dropout=dropout))
self.lstms.append(nn.LSTM(d_model + sty_dim, d_model // 2, num_layers=1, batch_first=True, bidirectional=True))
self.lstms.append(AdaLayerNorm(sty_dim, d_model))
self.dropout = dropout
self.d_model = d_model

12
kokoro/pipeline.py
View File

@@ -6,6 +6,7 @@ from misaki import en, espeak
from typing import Callable, Generator, List, Optional, Tuple, Union
import re
import torch
import os
ALIASES = {
'en-us': 'a',
@@ -93,8 +94,17 @@ class KPipeline:
elif model:
if device == 'cuda' and not torch.cuda.is_available():
raise RuntimeError("CUDA requested but not available")
if device == 'mps' and not torch.backends.mps.is_available():
raise RuntimeError("MPS requested but not available")
if device == 'mps' and os.environ.get('PYTORCH_ENABLE_MPS_FALLBACK') != '1':
raise RuntimeError("MPS requested but fallback not enabled")
if device is None:
device = 'cuda' if torch.cuda.is_available() else 'cpu'
if torch.cuda.is_available():
device = 'cuda'
elif os.environ.get('PYTORCH_ENABLE_MPS_FALLBACK') == '1' and torch.backends.mps.is_available():
device = 'mps'
else:
device = 'cpu'
try:
self.model = KModel(repo_id=repo_id).to(device).eval()
except RuntimeError as e:

8
pyproject.toml
View File

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "kokoro"
version = "0.9.2"
version = "0.9.4"
description = "TTS"
readme = "README.md"
authors = [
@@ -16,11 +16,11 @@ classifiers = [
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent"
]
requires-python = ">=3.10, <3.13"
requires-python = ">=3.10, <3.14"
dependencies = [
"huggingface_hub",
"loguru",
"misaki[en]>=0.9.2",
"misaki[en]>=0.9.4",
"numpy",
"torch",
"transformers"
@@ -34,5 +34,5 @@ only-include = ["kokoro"]
only-packages = true
[project.urls]
Homepage = "https://github.com/hexgrad/kokoros"
Homepage = "https://github.com/hexgrad/kokoro"
Repository = "https://github.com/hexgrad/kokoro"