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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 ### 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). 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 ```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 !apt-get -qq -y install espeak-ng > /dev/null 2>&1
from kokoro import KPipeline from kokoro import KPipeline
from IPython.display import display, Audio 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/). You can run this advanced cell on [Google Colab](https://colab.research.google.com/).
```py ```py
# 1️⃣ Install kokoro # 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 # 2️⃣ Install espeak, used for English OOD fallback and some non-English languages
!apt-get -qq -y install espeak-ng > /dev/null 2>&1 !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 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 ### Conda Environment
Use the following conda `environment.yml` if you're facing any dependency issues. Use the following conda `environment.yml` if you're facing any dependency issues.
```yaml ```yaml

5
examples/export.py
View File

@@ -26,8 +26,9 @@ def export_onnx(model, output):
output_names = [ 'waveform', 'duration' ], output_names = [ 'waveform', 'duration' ],
opset_version = 17, opset_version = 17,
dynamic_axes = { dynamic_axes = {
'input_ids': { 1: 'input_ids_len' }, 'input_ids': {0: "batch_size", 1: 'input_ids_len' },
'waveform': { 0: 'num_samples' }, 'style': {0: "batch_size"},
"speed": {0: "batch_size"}
}, },
do_constant_folding = True, 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", "name": "kokoro-js",
"version": "1.1.0", "version": "1.2.1",
"license": "Apache-2.0", "license": "Apache-2.0",
"dependencies": { "dependencies": {
"@huggingface/transformers": "^3.3.3", "@huggingface/transformers": "^3.5.1",
"phonemizer": "^1.2.1" "phonemizer": "^1.2.1"
}, },
"devDependencies": { "devDependencies": {
@@ -43,7 +43,7 @@
"prettier": "3.4.2", "prettier": "3.4.2",
"rollup": "^4.30.1", "rollup": "^4.30.1",
"typescript": "^5.7.3", "typescript": "^5.7.3",
"vitest": "^2.1.8" "vitest": "^3.1.2"
} }
}, },
"node_modules/@alloc/quick-lru": { "node_modules/@alloc/quick-lru": {
@@ -72,14 +72,15 @@
} }
}, },
"node_modules/@babel/code-frame": { "node_modules/@babel/code-frame": {
"version": "7.26.2", "version": "7.27.1",
"resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.26.2.tgz", "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.27.1.tgz",
"integrity": "sha512-RJlIHRueQgwWitWgF8OdFYGZX328Ax5BCemNGlqHfplnRT9ESi8JkFlvaVYbS+UubVY6dpv87Fs2u5M29iNFVQ==", "integrity": "sha512-cjQ7ZlQ0Mv3b47hABuTevyTuYN4i+loJKGeV9flcCgIK37cCXRh+L1bd3iBHlynerhQ7BhCkn2BPbQUL+rGqFg==",
"dev": true, "dev": true,
"license": "MIT",
"dependencies": { "dependencies": {
"@babel/helper-validator-identifier": "^7.25.9", "@babel/helper-validator-identifier": "^7.27.1",
"js-tokens": "^4.0.0", "js-tokens": "^4.0.0",
"picocolors": "^1.0.0" "picocolors": "^1.1.1"
}, },
"engines": { "engines": {
"node": ">=6.9.0" "node": ">=6.9.0"
@@ -196,19 +197,21 @@
} }
}, },
"node_modules/@babel/helper-string-parser": { "node_modules/@babel/helper-string-parser": {
"version": "7.25.9", "version": "7.27.1",
"resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.25.9.tgz", "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.27.1.tgz",
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"dev": true, "dev": true,
"license": "MIT",
"engines": { "engines": {
"node": ">=6.9.0" "node": ">=6.9.0"
} }
}, },
"node_modules/@babel/helper-validator-identifier": { "node_modules/@babel/helper-validator-identifier": {
"version": "7.25.9", "version": "7.27.1",
"resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.25.9.tgz", "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.27.1.tgz",
"integrity": "sha512-Ed61U6XJc3CVRfkERJWDz4dJwKe7iLmmJsbOGu9wSloNSFttHV0I8g6UAgb7qnK5ly5bGLPd4oXZlxCdANBOWQ==", "integrity": "sha512-D2hP9eA+Sqx1kBZgzxZh0y1trbuU+JoDkiEwqhQ36nodYqJwyEIhPSdMNd7lOm/4io72luTPWH20Yda0xOuUow==",
"dev": true, "dev": true,
"license": "MIT",
"engines": { "engines": {
"node": ">=6.9.0" "node": ">=6.9.0"
} }
@@ -223,25 +226,27 @@
} }
}, },
"node_modules/@babel/helpers": { "node_modules/@babel/helpers": {
"version": "7.26.0", "version": "7.27.1",
"resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.26.0.tgz", "resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.27.1.tgz",
"integrity": "sha512-tbhNuIxNcVb21pInl3ZSjksLCvgdZy9KwJ8brv993QtIVKJBBkYXz4q4ZbAv31GdnC+R90np23L5FbEBlthAEw==", "integrity": "sha512-FCvFTm0sWV8Fxhpp2McP5/W53GPllQ9QeQ7SiqGWjMf/LVG07lFa5+pgK05IRhVwtvafT22KF+ZSnM9I545CvQ==",
"dev": true, "dev": true,
"license": "MIT",
"dependencies": { "dependencies": {
"@babel/template": "^7.25.9", "@babel/template": "^7.27.1",
"@babel/types": "^7.26.0" "@babel/types": "^7.27.1"
}, },
"engines": { "engines": {
"node": ">=6.9.0" "node": ">=6.9.0"
} }
}, },
"node_modules/@babel/parser": { "node_modules/@babel/parser": {
"version": "7.26.2", "version": "7.27.1",
"resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.26.2.tgz", "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.27.1.tgz",
"integrity": "sha512-DWMCZH9WA4Maitz2q21SRKHo9QXZxkDsbNZoVD62gusNtNBBqDg9i7uOhASfTfIGNzW+O+r7+jAlM8dwphcJKQ==", "integrity": "sha512-I0dZ3ZpCrJ1c04OqlNsQcKiZlsrXf/kkE4FXzID9rIOYICsAbA8mMDzhW/luRNAHdCNt7os/u8wenklZDlUVUQ==",
"dev": true, "dev": true,
"license": "MIT",
"dependencies": { "dependencies": {
"@babel/types": "^7.26.0" "@babel/types": "^7.27.1"
}, },
"bin": { "bin": {
"parser": "bin/babel-parser.js" "parser": "bin/babel-parser.js"
@@ -281,14 +286,15 @@
} }
}, },
"node_modules/@babel/template": { "node_modules/@babel/template": {
"version": "7.25.9", "version": "7.27.1",
"resolved": "https://registry.npmjs.org/@babel/template/-/template-7.25.9.tgz", "resolved": "https://registry.npmjs.org/@babel/template/-/template-7.27.1.tgz",
"integrity": "sha512-9DGttpmPvIxBb/2uwpVo3dqJ+O6RooAFOS+lB+xDqoE2PVCE8nfoHMdZLpfCQRLwvohzXISPZcgxt80xLfsuwg==", "integrity": "sha512-Fyo3ghWMqkHHpHQCoBs2VnYjR4iWFFjguTDEqA5WgZDOrFesVjMhMM2FSqTKSoUSDO1VQtavj8NFpdRBEvJTtg==",
"dev": true, "dev": true,
"license": "MIT",
"dependencies": { "dependencies": {
"@babel/code-frame": "^7.25.9", "@babel/code-frame": "^7.27.1",
"@babel/parser": "^7.25.9", "@babel/parser": "^7.27.1",
"@babel/types": "^7.25.9" "@babel/types": "^7.27.1"
}, },
"engines": { "engines": {
"node": ">=6.9.0" "node": ">=6.9.0"
@@ -322,22 +328,23 @@
} }
}, },
"node_modules/@babel/types": { "node_modules/@babel/types": {
"version": "7.26.0", "version": "7.27.1",
"resolved": "https://registry.npmjs.org/@babel/types/-/types-7.26.0.tgz", "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.27.1.tgz",
"integrity": "sha512-Z/yiTPj+lDVnF7lWeKCIJzaIkI0vYO87dMpZ4bg4TDrFe4XXLFWL1TbXU27gBP3QccxV9mZICCrnjnYlJjXHOA==", "integrity": "sha512-+EzkxvLNfiUeKMgy/3luqfsCWFRXLb7U6wNQTk60tovuckwB15B191tJWvpp4HjiQWdJkCxO3Wbvc6jlk3Xb2Q==",
"dev": true, "dev": true,
"license": "MIT",
"dependencies": { "dependencies": {
"@babel/helper-string-parser": "^7.25.9", "@babel/helper-string-parser": "^7.27.1",
"@babel/helper-validator-identifier": "^7.25.9" "@babel/helper-validator-identifier": "^7.27.1"
}, },
"engines": { "engines": {
"node": ">=6.9.0" "node": ">=6.9.0"
} }
}, },
"node_modules/@esbuild/aix-ppc64": { "node_modules/@esbuild/aix-ppc64": {
"version": "0.24.2", "version": "0.25.3",
"resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.24.2.tgz", "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.25.3.tgz",
"integrity": "sha512-thpVCb/rhxE/BnMLQ7GReQLLN8q9qbHmI55F4489/ByVg2aQaQ6kbcLb6FHkocZzQhxc4gx0sCk0tJkKBFzDhA==", "integrity": "sha512-W8bFfPA8DowP8l//sxjJLSLkD8iEjMc7cBVyP+u4cEv9sM7mdUCkgsj+t0n/BWPFtv7WWCN5Yzj0N6FJNUUqBQ==",
"cpu": [ "cpu": [
"ppc64" "ppc64"
], ],
@@ -352,9 +359,9 @@
} }
}, },
"node_modules/@esbuild/android-arm": { "node_modules/@esbuild/android-arm": {
"version": "0.24.2", "version": "0.25.3",
"resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.24.2.tgz", "resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.25.3.tgz",
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"cpu": [ "cpu": [
"arm" "arm"
], ],
@@ -369,9 +376,9 @@
} }
}, },
"node_modules/@esbuild/android-arm64": { "node_modules/@esbuild/android-arm64": {
"version": "0.24.2", "version": "0.25.3",
"resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.24.2.tgz", "resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.25.3.tgz",
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"cpu": [ "cpu": [
"arm64" "arm64"
], ],
@@ -386,9 +393,9 @@
} }
}, },
"node_modules/@esbuild/android-x64": { "node_modules/@esbuild/android-x64": {
"version": "0.24.2", "version": "0.25.3",
"resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.24.2.tgz", "resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.25.3.tgz",
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"cpu": [ "cpu": [
"x64" "x64"
], ],
@@ -403,9 +410,9 @@
} }
}, },
"node_modules/@esbuild/darwin-arm64": { "node_modules/@esbuild/darwin-arm64": {
"version": "0.24.2", "version": "0.25.3",
"resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.24.2.tgz", "resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.25.3.tgz",
"integrity": "sha512-kj3AnYWc+CekmZnS5IPu9D+HWtUI49hbnyqk0FLEJDbzCIQt7hg7ucF1SQAilhtYpIujfaHr6O0UHlzzSPdOeA==", "integrity": "sha512-eESK5yfPNTqpAmDfFWNsOhmIOaQA59tAcF/EfYvo5/QWQCzXn5iUSOnqt3ra3UdzBv073ykTtmeLJZGt3HhA+w==",
"cpu": [ "cpu": [
"arm64" "arm64"
], ],
@@ -420,9 +427,9 @@
} }
}, },
"node_modules/@esbuild/darwin-x64": { "node_modules/@esbuild/darwin-x64": {
"version": "0.24.2", "version": "0.25.3",
"resolved": "https://registry.npmjs.org/@esbuild/darwin-x64/-/darwin-x64-0.24.2.tgz", "resolved": "https://registry.npmjs.org/@esbuild/darwin-x64/-/darwin-x64-0.25.3.tgz",
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"cpu": [ "cpu": [
"x64" "x64"
], ],
@@ -437,9 +444,9 @@
} }
}, },
"node_modules/@esbuild/freebsd-arm64": { "node_modules/@esbuild/freebsd-arm64": {
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}, },
@@ -4875,6 +4898,51 @@
"node": ">=0.8" "node": ">=0.8"
} }
}, },
"node_modules/tinyglobby": {
"version": "0.2.13",
"resolved": "https://registry.npmjs.org/tinyglobby/-/tinyglobby-0.2.13.tgz",
"integrity": "sha512-mEwzpUgrLySlveBwEVDMKk5B57bhLPYovRfPAXD5gA/98Opn0rCDj3GtLwFvCvH5RK9uPCExUROW5NjDwvqkxw==",
"dev": true,
"license": "MIT",
"dependencies": {
"fdir": "^6.4.4",
"picomatch": "^4.0.2"
},
"engines": {
"node": ">=12.0.0"
},
"funding": {
"url": "https://github.com/sponsors/SuperchupuDev"
}
},
"node_modules/tinyglobby/node_modules/fdir": {
"version": "6.4.4",
"resolved": "https://registry.npmjs.org/fdir/-/fdir-6.4.4.tgz",
"integrity": "sha512-1NZP+GK4GfuAv3PqKvxQRDMjdSRZjnkq7KfhlNrCNNlZ0ygQFpebfrnfnq/W7fpUnAv9aGWmY1zKx7FYL3gwhg==",
"dev": true,
"license": "MIT",
"peerDependencies": {
"picomatch": "^3 || ^4"
},
"peerDependenciesMeta": {
"picomatch": {
"optional": true
}
}
},
"node_modules/tinyglobby/node_modules/picomatch": {
"version": "4.0.2",
"resolved": "https://registry.npmjs.org/picomatch/-/picomatch-4.0.2.tgz",
"integrity": "sha512-M7BAV6Rlcy5u+m6oPhAPFgJTzAioX/6B0DxyvDlo9l8+T3nLKbrczg2WLUyzd45L8RqfUMyGPzekbMvX2Ldkwg==",
"dev": true,
"license": "MIT",
"engines": {
"node": ">=12"
},
"funding": {
"url": "https://github.com/sponsors/jonschlinkert"
}
},
"node_modules/to-regex-range": { "node_modules/to-regex-range": {
"version": "5.0.1", "version": "5.0.1",
"resolved": "https://registry.npmjs.org/to-regex-range/-/to-regex-range-5.0.1.tgz", "resolved": "https://registry.npmjs.org/to-regex-range/-/to-regex-range-5.0.1.tgz",
@@ -5053,15 +5121,18 @@
"dev": true "dev": true
}, },
"node_modules/vite": { "node_modules/vite": {
"version": "6.1.0", "version": "6.3.4",
"resolved": "https://registry.npmjs.org/vite/-/vite-6.1.0.tgz", "resolved": "https://registry.npmjs.org/vite/-/vite-6.3.4.tgz",
"integrity": "sha512-RjjMipCKVoR4hVfPY6GQTgveinjNuyLw+qruksLDvA5ktI1150VmcMBKmQaEWJhg/j6Uaf6dNCNA0AfdzUb/hQ==", "integrity": "sha512-BiReIiMS2fyFqbqNT/Qqt4CVITDU9M9vE+DKcVAsB+ZV0wvTKd+3hMbkpxz1b+NmEDMegpVbisKiAZOnvO92Sw==",
"dev": true, "dev": true,
"license": "MIT", "license": "MIT",
"dependencies": { "dependencies": {
"esbuild": "^0.24.2", "esbuild": "^0.25.0",
"postcss": "^8.5.1", "fdir": "^6.4.4",
"rollup": "^4.30.1" "picomatch": "^4.0.2",
"postcss": "^8.5.3",
"rollup": "^4.34.9",
"tinyglobby": "^0.2.13"
}, },
"bin": { "bin": {
"vite": "bin/vite.js" "vite": "bin/vite.js"
@@ -5124,6 +5195,34 @@
} }
} }
}, },
"node_modules/vite/node_modules/fdir": {
"version": "6.4.4",
"resolved": "https://registry.npmjs.org/fdir/-/fdir-6.4.4.tgz",
"integrity": "sha512-1NZP+GK4GfuAv3PqKvxQRDMjdSRZjnkq7KfhlNrCNNlZ0ygQFpebfrnfnq/W7fpUnAv9aGWmY1zKx7FYL3gwhg==",
"dev": true,
"license": "MIT",
"peerDependencies": {
"picomatch": "^3 || ^4"
},
"peerDependenciesMeta": {
"picomatch": {
"optional": true
}
}
},
"node_modules/vite/node_modules/picomatch": {
"version": "4.0.2",
"resolved": "https://registry.npmjs.org/picomatch/-/picomatch-4.0.2.tgz",
"integrity": "sha512-M7BAV6Rlcy5u+m6oPhAPFgJTzAioX/6B0DxyvDlo9l8+T3nLKbrczg2WLUyzd45L8RqfUMyGPzekbMvX2Ldkwg==",
"dev": true,
"license": "MIT",
"engines": {
"node": ">=12"
},
"funding": {
"url": "https://github.com/sponsors/jonschlinkert"
}
},
"node_modules/which": { "node_modules/which": {
"version": "2.0.2", "version": "2.0.2",
"resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz", "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",

1
kokoro.js/demo/vite.config.js
View File

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

1649
kokoro.js/package-lock.json generated
View File

File diff suppressed because it is too large Load Diff

8
kokoro.js/package.json
View File

@@ -1,6 +1,6 @@
{ {
"name": "kokoro-js", "name": "kokoro-js",
"version": "1.2.0", "version": "1.2.1",
"type": "module", "type": "module",
"exports": { "exports": {
"types": "./types/kokoro.d.ts", "types": "./types/kokoro.d.ts",
@@ -8,7 +8,7 @@
"import": "./dist/kokoro.js", "import": "./dist/kokoro.js",
"require": "./dist/kokoro.cjs" "require": "./dist/kokoro.cjs"
}, },
"default": "./dist/kokoro.web.js" "default": "./dist/kokoro.js"
}, },
"scripts": { "scripts": {
"build": "rm -rf dist types && rollup -c && tsc && cp ../LICENSE LICENSE", "build": "rm -rf dist types && rollup -c && tsc && cp ../LICENSE LICENSE",
@@ -34,7 +34,7 @@
"license": "Apache-2.0", "license": "Apache-2.0",
"description": "High-quality text-to-speech for the web", "description": "High-quality text-to-speech for the web",
"dependencies": { "dependencies": {
"@huggingface/transformers": "^3.3.3", "@huggingface/transformers": "^3.5.1",
"phonemizer": "^1.2.1" "phonemizer": "^1.2.1"
}, },
"devDependencies": { "devDependencies": {
@@ -43,7 +43,7 @@
"prettier": "3.4.2", "prettier": "3.4.2",
"rollup": "^4.30.1", "rollup": "^4.30.1",
"typescript": "^5.7.3", "typescript": "^5.7.3",
"vitest": "^2.1.8" "vitest": "^3.1.2"
}, },
"files": [ "files": [
"types", "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 { phonemize } from "./phonemize.js";
import { TextSplitterStream } from "./splitter.js"; import { TextSplitterStream } from "./splitter.js";
import { getVoiceData, VOICES } from "./voices.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 }; 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>} * @returns {Promise<ArrayBufferLike>}
*/ */
async function getVoiceFile(id) { async function getVoiceFile(id) {
if (fs?.readFile) { if (fs && Object.hasOwn(fs, 'readFile')) {
const dirname = typeof __dirname !== "undefined" ? __dirname : import.meta.dirname; const dirname = typeof __dirname !== "undefined" ? __dirname : import.meta.dirname;
const file = path.resolve(dirname, `../voices/${id}.bin`); const file = path.resolve(dirname, `../voices/${id}.bin`);
const { buffer } = await fs.readFile(file); const { buffer } = await fs.readFile(file);
return buffer; return buffer;
} }
const url = `${VOICE_DATA_URL}/${id}.bin`; const url = `${voiceDataUrl}/${id}.bin`;
let cache; let cache;
try { try {

2
kokoro/__init__.py
View File

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

2
kokoro/istftnet.py
View File

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

4
kokoro/modules.py
View File

@@ -1,6 +1,6 @@
# https://github.com/yl4579/StyleTTS2/blob/main/models.py # https://github.com/yl4579/StyleTTS2/blob/main/models.py
from .istftnet import AdainResBlk1d from .istftnet import AdainResBlk1d
from torch.nn.utils import weight_norm from torch.nn.utils.parametrizations import weight_norm
from transformers import AlbertModel from transformers import AlbertModel
import numpy as np import numpy as np
import torch import torch
@@ -139,7 +139,7 @@ class DurationEncoder(nn.Module):
super().__init__() super().__init__()
self.lstms = nn.ModuleList() self.lstms = nn.ModuleList()
for _ in range(nlayers): 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.lstms.append(AdaLayerNorm(sty_dim, d_model))
self.dropout = dropout self.dropout = dropout
self.d_model = d_model 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 from typing import Callable, Generator, List, Optional, Tuple, Union
import re import re
import torch import torch
import os
ALIASES = { ALIASES = {
'en-us': 'a', 'en-us': 'a',
@@ -93,8 +94,17 @@ class KPipeline:
elif model: elif model:
if device == 'cuda' and not torch.cuda.is_available(): if device == 'cuda' and not torch.cuda.is_available():
raise RuntimeError("CUDA requested but not 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: 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: try:
self.model = KModel(repo_id=repo_id).to(device).eval() self.model = KModel(repo_id=repo_id).to(device).eval()
except RuntimeError as e: except RuntimeError as e:

8
pyproject.toml
View File

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