zkx06111
/
wsrglow
A Glow-based Waveform Generative Model for Audio Super-Resolution. Intelligently upsamples audio by 2x resolution
Prediction
zkx06111/wsrglow:33d0873cID4daxl6bzp5ckbihju4v35dcbq4StatusSucceededSourceWebHardware–Total duration–CreatedInput
- input
- 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.
{ "input": "https://replicate.delivery/mgxm/28ce8dde-3ff7-4aea-8a68-c53bba6b372e/p225_001_24000.wav" }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment 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 zkx06111/wsrglow using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "zkx06111/wsrglow:33d0873c91e17648dcd5048a50f691828e9498045172e234e6fea4dfc30ed5fd", { input: { input: "https://replicate.delivery/mgxm/28ce8dde-3ff7-4aea-8a68-c53bba6b372e/p225_001_24000.wav" } } ); 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 replicateSet theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:import replicateRun zkx06111/wsrglow using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "zkx06111/wsrglow:33d0873c91e17648dcd5048a50f691828e9498045172e234e6fea4dfc30ed5fd", input={ "input": "https://replicate.delivery/mgxm/28ce8dde-3ff7-4aea-8a68-c53bba6b372e/p225_001_24000.wav" } ) # The zkx06111/wsrglow model can stream output as it's running. # The predict method returns an iterator, and you can iterate over that output. for item in output: # https://replicate.com/zkx06111/wsrglow/api#output-schema print(item)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run zkx06111/wsrglow 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": "33d0873c91e17648dcd5048a50f691828e9498045172e234e6fea4dfc30ed5fd", "input": { "input": "https://replicate.delivery/mgxm/28ce8dde-3ff7-4aea-8a68-c53bba6b372e/p225_001_24000.wav" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
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": "2021-09-06T17:19:48.329495Z", "created_at": "2021-09-06T17:19:46.229145Z", "data_removed": false, "error": null, "id": "4daxl6bzp5ckbihju4v35dcbq4", "input": { "input": "https://replicate.delivery/mgxm/28ce8dde-3ff7-4aea-8a68-c53bba6b372e/p225_001_24000.wav" }, "logs": "Loading wav file...\n(49237,)\n24000\n48000\nsampling rate (lr) = 24000\nlr.shape = (49408,)\nRunning prediction...\n(49408,)\n(98816,)\nsampling rate = 48000", "metrics": { "total_time": 2.10035 }, "output": [ { "file": "https://replicate.delivery/mgxm/034e0ccc-d5ce-4bd2-bd18-12c45c0a9576/out.wav" } ], "started_at": "2021-12-01T09:35:42.143934Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/4daxl6bzp5ckbihju4v35dcbq4", "cancel": "https://api.replicate.com/v1/predictions/4daxl6bzp5ckbihju4v35dcbq4/cancel" }, "version": "33d0873c91e17648dcd5048a50f691828e9498045172e234e6fea4dfc30ed5fd" }Loading wav file... (49237,) 24000 48000 sampling rate (lr) = 24000 lr.shape = (49408,) Running prediction... (49408,) (98816,) sampling rate = 48000Prediction
zkx06111/wsrglow:33d0873cIDpzesg3tzfbapthfhzeshvcgrsyStatusSucceededSourceWebHardware–Total duration–CreatedInput
- input
- 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.
{ "input": "https://replicate.delivery/mgxm/873642fb-799b-4a25-805d-04a411deeb30/p270_001_24kHz.wav" }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment 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 zkx06111/wsrglow using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "zkx06111/wsrglow:33d0873c91e17648dcd5048a50f691828e9498045172e234e6fea4dfc30ed5fd", { input: { input: "https://replicate.delivery/mgxm/873642fb-799b-4a25-805d-04a411deeb30/p270_001_24kHz.wav" } } ); 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 replicateSet theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:import replicateRun zkx06111/wsrglow using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "zkx06111/wsrglow:33d0873c91e17648dcd5048a50f691828e9498045172e234e6fea4dfc30ed5fd", input={ "input": "https://replicate.delivery/mgxm/873642fb-799b-4a25-805d-04a411deeb30/p270_001_24kHz.wav" } ) # The zkx06111/wsrglow model can stream output as it's running. # The predict method returns an iterator, and you can iterate over that output. for item in output: # https://replicate.com/zkx06111/wsrglow/api#output-schema print(item)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run zkx06111/wsrglow 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": "33d0873c91e17648dcd5048a50f691828e9498045172e234e6fea4dfc30ed5fd", "input": { "input": "https://replicate.delivery/mgxm/873642fb-799b-4a25-805d-04a411deeb30/p270_001_24kHz.wav" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
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": "2021-09-06T17:20:44.770981Z", "created_at": "2021-09-06T17:20:42.833604Z", "data_removed": false, "error": null, "id": "pzesg3tzfbapthfhzeshvcgrsy", "input": { "input": "https://replicate.delivery/mgxm/873642fb-799b-4a25-805d-04a411deeb30/p270_001_24kHz.wav" }, "logs": "Loading wav file...\n(58391,)\n24000\n48000\nsampling rate (lr) = 24000\nlr.shape = (58624,)\nRunning prediction...\n(58624,)\n(117248,)\nsampling rate = 48000", "metrics": { "total_time": 1.937377 }, "output": [ { "file": "https://replicate.delivery/mgxm/6b5ed997-2063-4969-9488-38964866c731/out.wav" } ], "started_at": "2022-01-06T06:13:29.225719Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/pzesg3tzfbapthfhzeshvcgrsy", "cancel": "https://api.replicate.com/v1/predictions/pzesg3tzfbapthfhzeshvcgrsy/cancel" }, "version": "33d0873c91e17648dcd5048a50f691828e9498045172e234e6fea4dfc30ed5fd" }Loading wav file... (58391,) 24000 48000 sampling rate (lr) = 24000 lr.shape = (58624,) Running prediction... (58624,) (117248,) sampling rate = 48000Prediction
zkx06111/wsrglow:33d0873cID3ylt4ssvjfhl5gq3rt4a4sdf44StatusSucceededSourceWebHardware–Total duration–CreatedInput
- input
- 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.
{ "input": "https://replicate.delivery/mgxm/b8a90760-7495-4182-973f-9d7c90b1495a/p_24000.wav" }Install Replicate’s Node.js client library:npm install replicateSet theREPLICATE_API_TOKENenvironment 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 zkx06111/wsrglow using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "zkx06111/wsrglow:33d0873c91e17648dcd5048a50f691828e9498045172e234e6fea4dfc30ed5fd", { input: { input: "https://replicate.delivery/mgxm/b8a90760-7495-4182-973f-9d7c90b1495a/p_24000.wav" } } ); 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 replicateSet theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Import the client:import replicateRun zkx06111/wsrglow using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "zkx06111/wsrglow:33d0873c91e17648dcd5048a50f691828e9498045172e234e6fea4dfc30ed5fd", input={ "input": "https://replicate.delivery/mgxm/b8a90760-7495-4182-973f-9d7c90b1495a/p_24000.wav" } ) # The zkx06111/wsrglow model can stream output as it's running. # The predict method returns an iterator, and you can iterate over that output. for item in output: # https://replicate.com/zkx06111/wsrglow/api#output-schema print(item)To learn more, take a look at the guide on getting started with Python.
Set theREPLICATE_API_TOKENenvironment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>Find your API token in your account settings.
Run zkx06111/wsrglow 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": "33d0873c91e17648dcd5048a50f691828e9498045172e234e6fea4dfc30ed5fd", "input": { "input": "https://replicate.delivery/mgxm/b8a90760-7495-4182-973f-9d7c90b1495a/p_24000.wav" } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
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": "2021-09-06T17:24:20.997091Z", "created_at": "2021-09-06T17:23:53.639458Z", "data_removed": false, "error": null, "id": "3ylt4ssvjfhl5gq3rt4a4sdf44", "input": { "input": "https://replicate.delivery/mgxm/b8a90760-7495-4182-973f-9d7c90b1495a/p_24000.wav" }, "logs": "Loading wav file...\n(97408,)\n24000\n48000\nsampling rate (lr) = 24000\nlr.shape = (97536,)\nRunning prediction...\n(97536,)\n(195072,)\nsampling rate = 48000", "metrics": { "total_time": 27.357633 }, "output": [ { "file": "https://replicate.delivery/mgxm/c3a538f2-f6a7-45be-b4f8-6f662f7bbdf0/out.wav" } ], "started_at": "2021-12-13T14:31:27.066497Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/3ylt4ssvjfhl5gq3rt4a4sdf44", "cancel": "https://api.replicate.com/v1/predictions/3ylt4ssvjfhl5gq3rt4a4sdf44/cancel" }, "version": "33d0873c91e17648dcd5048a50f691828e9498045172e234e6fea4dfc30ed5fd" }Loading wav file... (97408,) 24000 48000 sampling rate (lr) = 24000 lr.shape = (97536,) Running prediction... (97536,) (195072,) sampling rate = 48000
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