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lucataco /whisperspeech-small:70789b0c
Input
Run this model in Node.js with one line of code:
npm install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import Replicate from "replicate";
const replicate = new Replicate({
auth: process.env.REPLICATE_API_TOKEN,
});
Run lucataco/whisperspeech-small using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run(
"lucataco/whisperspeech-small:70789b0c0bfa6d81964a43545867f34a8f8175572c429e7c3c2869fb6fa5ff95",
{
input: {
prompt: "This is the first demo of Whisper Speech, a fully open source text-to-speech model trained by Collabora and Lion on the Juwels supercomputer",
speaker: "",
language: "en"
}
}
);
console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
pip install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run lucataco/whisperspeech-small using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"lucataco/whisperspeech-small:70789b0c0bfa6d81964a43545867f34a8f8175572c429e7c3c2869fb6fa5ff95",
input={
"prompt": "This is the first demo of Whisper Speech, a fully open source text-to-speech model trained by Collabora and Lion on the Juwels supercomputer",
"speaker": "",
"language": "en"
}
)
print(output)
To learn more, take a look at the guide on getting started with Python.
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run lucataco/whisperspeech-small using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \
-H "Authorization: Bearer $REPLICATE_API_TOKEN" \
-H "Content-Type: application/json" \
-H "Prefer: wait" \
-d $'{
"version": "70789b0c0bfa6d81964a43545867f34a8f8175572c429e7c3c2869fb6fa5ff95",
"input": {
"prompt": "This is the first demo of Whisper Speech, a fully open source text-to-speech model trained by Collabora and Lion on the Juwels supercomputer",
"speaker": "",
"language": "en"
}
}' \
https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
brew install cog
If you don’t have Homebrew, there are other installation options available.
Run this to download the model and run it in your local environment:
cog predict r8.im/lucataco/whisperspeech-small@sha256:70789b0c0bfa6d81964a43545867f34a8f8175572c429e7c3c2869fb6fa5ff95 \
-i 'prompt="This is the first demo of Whisper Speech, a fully open source text-to-speech model trained by Collabora and Lion on the Juwels supercomputer"' \
-i 'speaker=""' \
-i 'language="en"'
To learn more, take a look at the Cog documentation.
Run this to download the model and run it in your local environment:
docker run -d -p 5000:5000 --gpus=all r8.im/lucataco/whisperspeech-small@sha256:70789b0c0bfa6d81964a43545867f34a8f8175572c429e7c3c2869fb6fa5ff95
curl -s -X POST \ -H "Content-Type: application/json" \ -d $'{ "input": { "prompt": "This is the first demo of Whisper Speech, a fully open source text-to-speech model trained by Collabora and Lion on the Juwels supercomputer", "speaker": "", "language": "en" } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Add a payment method to run this model.
Each run costs approximately $0.061. Alternatively, try out our featured models for free.
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terms of service and privacy policy
Output
- Chapters
- descriptions off, selected
- captions settings, opens captions settings dialog
- captions off, selected
This is a modal window.
Beginning of dialog window. Escape will cancel and close the window.
End of dialog window.
{
"completed_at": "2024-03-05T20:20:53.702778Z",
"created_at": "2024-03-05T20:18:28.140060Z",
"data_removed": false,
"error": null,
"id": "2ii2qq3bxbvbkco22fpipmrazy",
"input": {
"prompt": "This is the first demo of Whisper Speech, a fully open source text-to-speech model trained by Collabora and Lion on the Juwels supercomputer",
"speaker": "",
"language": "en"
},
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"metrics": {
"predict_time": 24.504905,
"total_time": 145.562718
},
"output": "https://replicate.delivery/pbxt/tkEhqu2e7Pxta6h1orM1mNHF21TIi6Be5Wee4fXIEBfCpwUnE/output.wav",
"started_at": "2024-03-05T20:20:29.197873Z",
"status": "succeeded",
"urls": {
"get": "https://api.replicate.com/v1/predictions/2ii2qq3bxbvbkco22fpipmrazy",
"cancel": "https://api.replicate.com/v1/predictions/2ii2qq3bxbvbkco22fpipmrazy/cancel"
},
"version": "a453e7a3dde7a9041a210a89339a128f8542e45d5172e46b44530cd9a0406e9d"
}
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|██████████████████████------------------| 57.45% [432/752 00:11<00:08]
|███████████████████████-----------------| 58.38% [439/752 00:11<00:08]
|███████████████████████-----------------| 59.31% [446/752 00:11<00:07]
|████████████████████████----------------| 60.24% [453/752 00:11<00:07]
|████████████████████████----------------| 61.17% [460/752 00:11<00:07]
|████████████████████████----------------| 62.10% [467/752 00:11<00:07]
|█████████████████████████---------------| 63.03% [474/752 00:12<00:07]
|█████████████████████████---------------| 63.96% [481/752 00:12<00:06]
|█████████████████████████---------------| 64.89% [488/752 00:12<00:06]
|██████████████████████████--------------| 65.82% [495/752 00:12<00:06]
|██████████████████████████--------------| 66.76% [502/752 00:12<00:06]
|███████████████████████████-------------| 67.69% [509/752 00:12<00:06]
|███████████████████████████-------------| 68.62% [516/752 00:13<00:06]
|███████████████████████████-------------| 69.55% [523/752 00:13<00:05]
|████████████████████████████------------| 70.48% [530/752 00:13<00:05]
|████████████████████████████------------| 71.41% [537/752 00:13<00:05]
|████████████████████████████------------| 72.34% [544/752 00:13<00:05]
|█████████████████████████████-----------| 73.27% [551/752 00:14<00:05]
|█████████████████████████████-----------| 74.20% [558/752 00:14<00:04]
|██████████████████████████████----------| 75.13% [565/752 00:14<00:04]
|██████████████████████████████----------| 76.06% [572/752 00:14<00:04]
|██████████████████████████████----------| 76.99% [579/752 00:14<00:04]
|███████████████████████████████---------| 77.93% [586/752 00:14<00:04]
|███████████████████████████████---------| 78.86% [593/752 00:15<00:04]
|███████████████████████████████---------| 79.79% [600/752 00:15<00:03]
|████████████████████████████████--------| 80.72% [607/752 00:15<00:03]
|████████████████████████████████--------| 81.65% [614/752 00:15<00:03]
|█████████████████████████████████-------| 82.58% [621/752 00:15<00:03]
|█████████████████████████████████-------| 83.51% [628/752 00:15<00:03]
|█████████████████████████████████-------| 84.44% [635/752 00:16<00:02]
|██████████████████████████████████------| 85.37% [642/752 00:16<00:02]
|██████████████████████████████████------| 86.30% [649/752 00:16<00:02]
|██████████████████████████████████------| 87.23% [656/752 00:16<00:02]
|███████████████████████████████████-----| 88.16% [663/752 00:16<00:02]
|███████████████████████████████████-----| 89.10% [670/752 00:17<00:02]
|████████████████████████████████████----| 90.03% [677/752 00:17<00:01]
|████████████████████████████████████----| 90.96% [684/752 00:17<00:01]
|████████████████████████████████████----| 91.89% [691/752 00:17<00:01]
|█████████████████████████████████████---| 92.82% [698/752 00:17<00:01]
|█████████████████████████████████████---| 93.75% [705/752 00:17<00:01]
|█████████████████████████████████████---| 94.68% [712/752 00:18<00:01]
|██████████████████████████████████████--| 95.61% [719/752 00:18<00:00]
|██████████████████████████████████████--| 96.54% [726/752 00:18<00:00]
|██████████████████████████████████████--| 97.47% [733/752 00:18<00:00]
|███████████████████████████████████████-| 98.40% [740/752 00:18<00:00]
|███████████████████████████████████████-| 99.34% [747/752 00:18<00:00]
|████████████████████████████████████████| 100.00% [752/752 00:19<00:00]
This example was created by a different version, lucataco/whisperspeech-small:a453e7a3.