lucataco
/
whisperspeech-small
An Open Source text-to-speech system built by inverting Whisper
Prediction
lucataco/whisperspeech-small:70789b0cID2ii2qq3bxbvbkco22fpipmrazyStatusSucceededSourceWebHardwareA40Total durationCreatedInput
- 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
{ "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" }
Install Replicate’s Node.js client library:npm install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the client: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.
Install Replicate’s Python client library:pip install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the client: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.
Set theREPLICATE_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.
You can run this model locally using Cog. First, install Cog: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.
Output
Video Player is loading.Current Time 00:00:000/Duration 00:00:000Loaded: 0%00:00:000Stream Type LIVERemaining Time -00:00:0001x- 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" }, "logs": "█\n|----------------------------------------| 0.00% [0/749 00:00<?]\n|----------------------------------------| 0.13% [1/749 00:00<00:18]\n|----------------------------------------| 0.27% [2/749 00:00<00:14]\n|----------------------------------------| 0.40% [3/749 00:00<00:13]\n|----------------------------------------| 0.53% [4/749 00:00<00:13]\n|----------------------------------------| 0.67% [5/749 00:00<00:12]\n|----------------------------------------| 2.14% [16/749 00:00<00:11]\n|█---------------------------------------| 3.74% [28/749 00:00<00:11]\n|██--------------------------------------| 5.34% [40/749 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"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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Prediction
lucataco/whisperspeech-small:70789b0cIDopvceelb4wathfzfvbcghmlaxmStatusSucceededSourceWebHardwareA40Total durationCreatedInput
- 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
- https://upload.wikimedia.org/wikipedia/commons/7/75/Winston_Churchill_-_Be_Ye_Men_of_Valour.ogg
- language
- en
{ "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": "https://upload.wikimedia.org/wikipedia/commons/7/75/Winston_Churchill_-_Be_Ye_Men_of_Valour.ogg", "language": "en" }
Install Replicate’s Node.js client library:npm install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the client: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: "https://upload.wikimedia.org/wikipedia/commons/7/75/Winston_Churchill_-_Be_Ye_Men_of_Valour.ogg", language: "en" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the client: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": "https://upload.wikimedia.org/wikipedia/commons/7/75/Winston_Churchill_-_Be_Ye_Men_of_Valour.ogg", "language": "en" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_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": "https://upload.wikimedia.org/wikipedia/commons/7/75/Winston_Churchill_-_Be_Ye_Men_of_Valour.ogg", "language": "en" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
You can run this model locally using Cog. First, install Cog: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="https://upload.wikimedia.org/wikipedia/commons/7/75/Winston_Churchill_-_Be_Ye_Men_of_Valour.ogg"' \ -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": "https://upload.wikimedia.org/wikipedia/commons/7/75/Winston_Churchill_-_Be_Ye_Men_of_Valour.ogg", "language": "en" } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Output
Video Player is loading.Current Time 00:00:000/Duration 00:00:000Loaded: 0%00:00:000Stream Type LIVERemaining Time -00:00:0001x- 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": "2024-03-05T20:22:14.415406Z", "created_at": "2024-03-05T20:21:42.777507Z", "data_removed": false, "error": null, "id": "opvceelb4wathfzfvbcghmlaxm", "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": "https://upload.wikimedia.org/wikipedia/commons/7/75/Winston_Churchill_-_Be_Ye_Men_of_Valour.ogg", "language": "en" }, "logs": "█\n|----------------------------------------| 0.00% [0/749 00:00<?]\n|----------------------------------------| 0.13% [1/749 00:00<00:12]\n|----------------------------------------| 0.27% [2/749 00:00<00:11]\n|----------------------------------------| 0.40% [3/749 00:00<00:11]\n|----------------------------------------| 0.53% [4/749 00:00<00:11]\n|----------------------------------------| 0.67% [5/749 00:00<00:11]\n|----------------------------------------| 2.40% [18/749 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"started_at": "2024-03-05T20:21:42.840857Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/opvceelb4wathfzfvbcghmlaxm", "cancel": "https://api.replicate.com/v1/predictions/opvceelb4wathfzfvbcghmlaxm/cancel" }, "version": "a453e7a3dde7a9041a210a89339a128f8542e45d5172e46b44530cd9a0406e9d" }
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Prediction
lucataco/whisperspeech-small:70789b0cIDrmpa6u3bfcrpo2s5p5ab2xtoeeStatusSucceededSourceWebHardwareA40Total durationCreatedInput
- prompt
- To jest pierwszy test wielojęzycznego Whisper Speech modelu zamieniającego tekst na mowę, który Collabora i Laion nauczyli na superkomputerze
- language
- pl
{ "prompt": "To jest pierwszy test wielojęzycznego Whisper Speech modelu zamieniającego tekst na mowę, który Collabora i Laion nauczyli na superkomputerze", "language": "pl" }
Install Replicate’s Node.js client library:npm install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the client: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: "To jest pierwszy test wielojęzycznego Whisper Speech modelu zamieniającego tekst na mowę, który Collabora i Laion nauczyli na superkomputerze", language: "pl" } } ); console.log(output);
To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the client: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": "To jest pierwszy test wielojęzycznego Whisper Speech modelu zamieniającego tekst na mowę, który Collabora i Laion nauczyli na superkomputerze", "language": "pl" } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_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": "To jest pierwszy test wielojęzycznego Whisper Speech modelu zamieniającego tekst na mowę, który Collabora i Laion nauczyli na superkomputerze", "language": "pl" } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
You can run this model locally using Cog. First, install Cog: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="To jest pierwszy test wielojęzycznego Whisper Speech modelu zamieniającego tekst na mowę, który Collabora i Laion nauczyli na superkomputerze"' \ -i 'language="pl"'
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": "To jest pierwszy test wielojęzycznego Whisper Speech modelu zamieniającego tekst na mowę, który Collabora i Laion nauczyli na superkomputerze", "language": "pl" } }' \ http://localhost:5000/predictions
To learn more, take a look at the Cog documentation.
Output
Video Player is loading.Current Time 00:00:000/Duration 00:00:000Loaded: 0%00:00:000Stream Type LIVERemaining Time -00:00:0001x- 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": "2024-03-05T20:22:47.468972Z", "created_at": "2024-03-05T20:22:24.164554Z", "data_removed": false, "error": null, "id": "rmpa6u3bfcrpo2s5p5ab2xtoee", "input": { "prompt": "To jest pierwszy test wielojęzycznego Whisper Speech modelu zamieniającego tekst na mowę, który Collabora i Laion nauczyli na superkomputerze", "language": "pl" }, "logs": "█\n|----------------------------------------| 0.00% [0/749 00:00<?]\n|----------------------------------------| 0.13% [1/749 00:00<00:11]\n|----------------------------------------| 0.27% [2/749 00:00<00:11]\n|----------------------------------------| 0.40% [3/749 00:00<00:11]\n|----------------------------------------| 0.53% [4/749 00:00<00:11]\n|----------------------------------------| 0.67% [5/749 00:00<00:11]\n|----------------------------------------| 2.40% [18/749 00:00<00:10]\n|█---------------------------------------| 4.14% [31/749 00:00<00:10]\n|██--------------------------------------| 5.87% [44/749 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00:16<00:01]\n|████████████████████████████████████----| 92.15% [693/752 00:16<00:01]\n|█████████████████████████████████████---| 93.22% [701/752 00:16<00:01]\n|█████████████████████████████████████---| 94.28% [709/752 00:17<00:01]\n|██████████████████████████████████████--| 95.35% [717/752 00:17<00:00]\n|██████████████████████████████████████--| 96.41% [725/752 00:17<00:00]\n|██████████████████████████████████████--| 97.47% [733/752 00:17<00:00]\n|███████████████████████████████████████-| 98.54% [741/752 00:17<00:00]\n|███████████████████████████████████████-| 99.60% [749/752 00:18<00:00]\n|████████████████████████████████████████| 100.00% [752/752 00:18<00:00]", "metrics": { "predict_time": 23.244891, "total_time": 23.304418 }, "output": "https://replicate.delivery/pbxt/fxeJbTfs7LGVUJXuuRK2PjPg0zkDfdCSbyNGV79eX4L2iYqTC/output.wav", "started_at": "2024-03-05T20:22:24.224081Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/rmpa6u3bfcrpo2s5p5ab2xtoee", "cancel": "https://api.replicate.com/v1/predictions/rmpa6u3bfcrpo2s5p5ab2xtoee/cancel" }, "version": "a453e7a3dde7a9041a210a89339a128f8542e45d5172e46b44530cd9a0406e9d" }
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