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ben-hayes / neural-waveshaping-synthesis
Efficient neural audio synthesis in the waveform domain (Updated 3 years, 9 months ago)
Prediction
ben-hayes/neural-waveshaping-synthesis:0d8b1d7be262c95cde0b35bf15112d0faa43a3b456dd5bde0cc7ecc26ba7d0a9ID4jwodgozt5eerjt3kus2svpsxyStatusSucceededSourceWebHardware–Total duration–CreatedInput
- instrument
- Violin
- youtube_url
- https://www.youtube.com/watch?v=dYvPCgcFDIo
- octave_shift
- "1"
- use_fastnewt
- loudness_floor
- "0"
- loudness_scale
- "0.5"
- pitch_smoothing
- "0"
- pitch_conf_filter
- "0"
- loudness_smoothing
- "0"
- loudness_conf_filter
- "0"
- use_full_crepe_model
- youtube_start_in_seconds
- "6.5"
- youtube_length_in_seconds
- "20"
{ "instrument": "Violin", "youtube_url": "https://www.youtube.com/watch?v=dYvPCgcFDIo", "octave_shift": "1", "use_fastnewt": false, "loudness_floor": "0", "loudness_scale": "0.5", "pitch_smoothing": "0", "pitch_conf_filter": "0", "loudness_smoothing": "0", "loudness_conf_filter": "0", "use_full_crepe_model": true, "youtube_start_in_seconds": "6.5", "youtube_length_in_seconds": "20" }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run ben-hayes/neural-waveshaping-synthesis using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "ben-hayes/neural-waveshaping-synthesis:0d8b1d7be262c95cde0b35bf15112d0faa43a3b456dd5bde0cc7ecc26ba7d0a9", { input: { instrument: "Violin", youtube_url: "https://www.youtube.com/watch?v=dYvPCgcFDIo", octave_shift: "1", use_fastnewt: false, loudness_floor: "0", loudness_scale: "0.5", pitch_smoothing: "0", pitch_conf_filter: "0", loudness_smoothing: "0", loudness_conf_filter: "0", use_full_crepe_model: true, youtube_start_in_seconds: "6.5", youtube_length_in_seconds: "20" } } ); 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 replicateImport the client:import replicateRun ben-hayes/neural-waveshaping-synthesis using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "ben-hayes/neural-waveshaping-synthesis:0d8b1d7be262c95cde0b35bf15112d0faa43a3b456dd5bde0cc7ecc26ba7d0a9", input={ "instrument": "Violin", "youtube_url": "https://www.youtube.com/watch?v=dYvPCgcFDIo", "octave_shift": "1", "use_fastnewt": False, "loudness_floor": "0", "loudness_scale": "0.5", "pitch_smoothing": "0", "pitch_conf_filter": "0", "loudness_smoothing": "0", "loudness_conf_filter": "0", "use_full_crepe_model": True, "youtube_start_in_seconds": "6.5", "youtube_length_in_seconds": "20" } ) # The ben-hayes/neural-waveshaping-synthesis 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/ben-hayes/neural-waveshaping-synthesis/api#output-schema print(item)To learn more, take a look at the guide on getting started with Python.
Run ben-hayes/neural-waveshaping-synthesis 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": "ben-hayes/neural-waveshaping-synthesis:0d8b1d7be262c95cde0b35bf15112d0faa43a3b456dd5bde0cc7ecc26ba7d0a9", "input": { "instrument": "Violin", "youtube_url": "https://www.youtube.com/watch?v=dYvPCgcFDIo", "octave_shift": "1", "use_fastnewt": false, "loudness_floor": "0", "loudness_scale": "0.5", "pitch_smoothing": "0", "pitch_conf_filter": "0", "loudness_smoothing": "0", "loudness_conf_filter": "0", "use_full_crepe_model": true, "youtube_start_in_seconds": "6.5", "youtube_length_in_seconds": "20" } }' \ 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%Stream 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": "2021-08-27T10:02:19.793326Z", "created_at": "2021-08-27T10:01:34.285575Z", "data_removed": false, "error": null, "id": "4jwodgozt5eerjt3kus2svpsxy", "input": { "instrument": "Violin", "youtube_url": "https://www.youtube.com/watch?v=dYvPCgcFDIo", "octave_shift": "1", "use_fastnewt": false, "loudness_floor": "0", "loudness_scale": "0.5", "pitch_smoothing": "0", "pitch_conf_filter": "0", "loudness_smoothing": "0", "loudness_conf_filter": "0", "use_full_crepe_model": true, "youtube_start_in_seconds": "6.5", "youtube_length_in_seconds": "20" }, "logs": "Downloading youtube video...\nRunning: youtube-dl --format=bestaudio[ext=m4a] --extract-audio --audio-format=wav --output=/tmp/tmpzkoa7w6k/yt_audio.%(ext)s https://www.youtube.com/watch?v=dYvPCgcFDIo\nExtracting F0 with crepe...\nComputing control signals...\nRunning model...\nAudio generated in 0.14 seconds. That's 138.5 times faster than the real time threshold!\nSaving result...", "metrics": { "total_time": 45.507751 }, "output": [ { "file": "https://replicate.delivery/mgxm/0dcc4884-7607-4986-bf1e-4248caeeac9e/out.mp3" } ], "started_at": "2021-12-02T00:30:37.331737Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/4jwodgozt5eerjt3kus2svpsxy", "cancel": "https://api.replicate.com/v1/predictions/4jwodgozt5eerjt3kus2svpsxy/cancel" }, "version": "0d8b1d7be262c95cde0b35bf15112d0faa43a3b456dd5bde0cc7ecc26ba7d0a9" }Downloading youtube video... Running: youtube-dl --format=bestaudio[ext=m4a] --extract-audio --audio-format=wav --output=/tmp/tmpzkoa7w6k/yt_audio.%(ext)s https://www.youtube.com/watch?v=dYvPCgcFDIo Extracting F0 with crepe... Computing control signals... Running model... Audio generated in 0.14 seconds. That's 138.5 times faster than the real time threshold! Saving result...Prediction
ben-hayes/neural-waveshaping-synthesis:0d8b1d7be262c95cde0b35bf15112d0faa43a3b456dd5bde0cc7ecc26ba7d0a9IDamursmomujbhzlh26s3ovz4ouiStatusSucceededSourceWebHardware–Total duration–CreatedInput
- instrument
- Flute
- youtube_url
- https://www.youtube.com/watch?v=dYvPCgcFDIo
- octave_shift
- "1"
- use_fastnewt
- loudness_floor
- "0"
- loudness_scale
- "0.5"
- pitch_smoothing
- "0"
- pitch_conf_filter
- "0"
- loudness_smoothing
- "0"
- loudness_conf_filter
- "0"
- use_full_crepe_model
- youtube_start_in_seconds
- "6.5"
- youtube_length_in_seconds
- "20"
{ "instrument": "Flute", "youtube_url": "https://www.youtube.com/watch?v=dYvPCgcFDIo", "octave_shift": "1", "use_fastnewt": false, "loudness_floor": "0", "loudness_scale": "0.5", "pitch_smoothing": "0", "pitch_conf_filter": "0", "loudness_smoothing": "0", "loudness_conf_filter": "0", "use_full_crepe_model": true, "youtube_start_in_seconds": "6.5", "youtube_length_in_seconds": "20" }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run ben-hayes/neural-waveshaping-synthesis using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "ben-hayes/neural-waveshaping-synthesis:0d8b1d7be262c95cde0b35bf15112d0faa43a3b456dd5bde0cc7ecc26ba7d0a9", { input: { instrument: "Flute", youtube_url: "https://www.youtube.com/watch?v=dYvPCgcFDIo", octave_shift: "1", use_fastnewt: false, loudness_floor: "0", loudness_scale: "0.5", pitch_smoothing: "0", pitch_conf_filter: "0", loudness_smoothing: "0", loudness_conf_filter: "0", use_full_crepe_model: true, youtube_start_in_seconds: "6.5", youtube_length_in_seconds: "20" } } ); 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 replicateImport the client:import replicateRun ben-hayes/neural-waveshaping-synthesis using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "ben-hayes/neural-waveshaping-synthesis:0d8b1d7be262c95cde0b35bf15112d0faa43a3b456dd5bde0cc7ecc26ba7d0a9", input={ "instrument": "Flute", "youtube_url": "https://www.youtube.com/watch?v=dYvPCgcFDIo", "octave_shift": "1", "use_fastnewt": False, "loudness_floor": "0", "loudness_scale": "0.5", "pitch_smoothing": "0", "pitch_conf_filter": "0", "loudness_smoothing": "0", "loudness_conf_filter": "0", "use_full_crepe_model": True, "youtube_start_in_seconds": "6.5", "youtube_length_in_seconds": "20" } ) # The ben-hayes/neural-waveshaping-synthesis 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/ben-hayes/neural-waveshaping-synthesis/api#output-schema print(item)To learn more, take a look at the guide on getting started with Python.
Run ben-hayes/neural-waveshaping-synthesis 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": "ben-hayes/neural-waveshaping-synthesis:0d8b1d7be262c95cde0b35bf15112d0faa43a3b456dd5bde0cc7ecc26ba7d0a9", "input": { "instrument": "Flute", "youtube_url": "https://www.youtube.com/watch?v=dYvPCgcFDIo", "octave_shift": "1", "use_fastnewt": false, "loudness_floor": "0", "loudness_scale": "0.5", "pitch_smoothing": "0", "pitch_conf_filter": "0", "loudness_smoothing": "0", "loudness_conf_filter": "0", "use_full_crepe_model": true, "youtube_start_in_seconds": "6.5", "youtube_length_in_seconds": "20" } }' \ 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%Stream 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": "2021-08-27T10:03:52.377784Z", "created_at": "2021-08-27T10:02:52.317522Z", "data_removed": false, "error": null, "id": "amursmomujbhzlh26s3ovz4oui", "input": { "instrument": "Flute", "youtube_url": "https://www.youtube.com/watch?v=dYvPCgcFDIo", "octave_shift": "1", "use_fastnewt": false, "loudness_floor": "0", "loudness_scale": "0.5", "pitch_smoothing": "0", "pitch_conf_filter": "0", "loudness_smoothing": "0", "loudness_conf_filter": "0", "use_full_crepe_model": true, "youtube_start_in_seconds": "6.5", "youtube_length_in_seconds": "20" }, "logs": "Downloading youtube video...\nRunning: youtube-dl --format=bestaudio[ext=m4a] --extract-audio --audio-format=wav --output=/tmp/tmpeetcr825/yt_audio.%(ext)s https://www.youtube.com/watch?v=dYvPCgcFDIo\nExtracting F0 with crepe...\nComputing control signals...\nRunning model...\nAudio generated in 0.14 seconds. That's 141.8 times faster than the real time threshold!\nSaving result...", "metrics": {}, "output": [ { "file": "https://replicate.delivery/mgxm/9046bcae-3e32-421d-a638-02797043aea2/out.mp3" } ], "started_at": null, "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/amursmomujbhzlh26s3ovz4oui", "cancel": "https://api.replicate.com/v1/predictions/amursmomujbhzlh26s3ovz4oui/cancel" }, "version": "0d8b1d7be262c95cde0b35bf15112d0faa43a3b456dd5bde0cc7ecc26ba7d0a9" }Downloading youtube video... Running: youtube-dl --format=bestaudio[ext=m4a] --extract-audio --audio-format=wav --output=/tmp/tmpeetcr825/yt_audio.%(ext)s https://www.youtube.com/watch?v=dYvPCgcFDIo Extracting F0 with crepe... Computing control signals... Running model... Audio generated in 0.14 seconds. That's 141.8 times faster than the real time threshold! Saving result...Prediction
ben-hayes/neural-waveshaping-synthesis:0d8b1d7be262c95cde0b35bf15112d0faa43a3b456dd5bde0cc7ecc26ba7d0a9IDyxmcdhxio5hi5iscdp4xjqx7zmStatusSucceededSourceWebHardware–Total duration–CreatedInput
- instrument
- Trumpet
- youtube_url
- https://www.youtube.com/watch?v=dYvPCgcFDIo
- octave_shift
- "1"
- use_fastnewt
- loudness_floor
- "0"
- loudness_scale
- "0.5"
- pitch_smoothing
- "0"
- pitch_conf_filter
- "0"
- loudness_smoothing
- "0"
- loudness_conf_filter
- "0"
- use_full_crepe_model
- youtube_start_in_seconds
- "6.5"
- youtube_length_in_seconds
- "20"
{ "instrument": "Trumpet", "youtube_url": "https://www.youtube.com/watch?v=dYvPCgcFDIo", "octave_shift": "1", "use_fastnewt": false, "loudness_floor": "0", "loudness_scale": "0.5", "pitch_smoothing": "0", "pitch_conf_filter": "0", "loudness_smoothing": "0", "loudness_conf_filter": "0", "use_full_crepe_model": true, "youtube_start_in_seconds": "6.5", "youtube_length_in_seconds": "20" }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run ben-hayes/neural-waveshaping-synthesis using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "ben-hayes/neural-waveshaping-synthesis:0d8b1d7be262c95cde0b35bf15112d0faa43a3b456dd5bde0cc7ecc26ba7d0a9", { input: { instrument: "Trumpet", youtube_url: "https://www.youtube.com/watch?v=dYvPCgcFDIo", octave_shift: "1", use_fastnewt: false, loudness_floor: "0", loudness_scale: "0.5", pitch_smoothing: "0", pitch_conf_filter: "0", loudness_smoothing: "0", loudness_conf_filter: "0", use_full_crepe_model: true, youtube_start_in_seconds: "6.5", youtube_length_in_seconds: "20" } } ); 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 replicateImport the client:import replicateRun ben-hayes/neural-waveshaping-synthesis using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "ben-hayes/neural-waveshaping-synthesis:0d8b1d7be262c95cde0b35bf15112d0faa43a3b456dd5bde0cc7ecc26ba7d0a9", input={ "instrument": "Trumpet", "youtube_url": "https://www.youtube.com/watch?v=dYvPCgcFDIo", "octave_shift": "1", "use_fastnewt": False, "loudness_floor": "0", "loudness_scale": "0.5", "pitch_smoothing": "0", "pitch_conf_filter": "0", "loudness_smoothing": "0", "loudness_conf_filter": "0", "use_full_crepe_model": True, "youtube_start_in_seconds": "6.5", "youtube_length_in_seconds": "20" } ) # The ben-hayes/neural-waveshaping-synthesis 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/ben-hayes/neural-waveshaping-synthesis/api#output-schema print(item)To learn more, take a look at the guide on getting started with Python.
Run ben-hayes/neural-waveshaping-synthesis 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": "ben-hayes/neural-waveshaping-synthesis:0d8b1d7be262c95cde0b35bf15112d0faa43a3b456dd5bde0cc7ecc26ba7d0a9", "input": { "instrument": "Trumpet", "youtube_url": "https://www.youtube.com/watch?v=dYvPCgcFDIo", "octave_shift": "1", "use_fastnewt": false, "loudness_floor": "0", "loudness_scale": "0.5", "pitch_smoothing": "0", "pitch_conf_filter": "0", "loudness_smoothing": "0", "loudness_conf_filter": "0", "use_full_crepe_model": true, "youtube_start_in_seconds": "6.5", "youtube_length_in_seconds": "20" } }' \ 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%Stream 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": "2021-08-27T10:05:16.044474Z", "created_at": "2021-08-27T10:05:05.473209Z", "data_removed": false, "error": null, "id": "yxmcdhxio5hi5iscdp4xjqx7zm", "input": { "instrument": "Trumpet", "youtube_url": "https://www.youtube.com/watch?v=dYvPCgcFDIo", "octave_shift": "1", "use_fastnewt": false, "loudness_floor": "0", "loudness_scale": "0.5", "pitch_smoothing": "0", "pitch_conf_filter": "0", "loudness_smoothing": "0", "loudness_conf_filter": "0", "use_full_crepe_model": true, "youtube_start_in_seconds": "6.5", "youtube_length_in_seconds": "20" }, "logs": "Downloading youtube video...\nRunning: youtube-dl --format=bestaudio[ext=m4a] --extract-audio --audio-format=wav --output=/tmp/tmp4x7my0ao/yt_audio.%(ext)s https://www.youtube.com/watch?v=dYvPCgcFDIo\nExtracting F0 with crepe...\nComputing control signals...\nRunning model...\nAudio generated in 0.14 seconds. That's 141.6 times faster than the real time threshold!\nSaving result...", "metrics": {}, "output": [ { "file": "https://replicate.delivery/mgxm/33e14bbd-0db4-49a0-a4d9-fbc08197a579/out.mp3" } ], "started_at": null, "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/yxmcdhxio5hi5iscdp4xjqx7zm", "cancel": "https://api.replicate.com/v1/predictions/yxmcdhxio5hi5iscdp4xjqx7zm/cancel" }, "version": "0d8b1d7be262c95cde0b35bf15112d0faa43a3b456dd5bde0cc7ecc26ba7d0a9" }Downloading youtube video... Running: youtube-dl --format=bestaudio[ext=m4a] --extract-audio --audio-format=wav --output=/tmp/tmp4x7my0ao/yt_audio.%(ext)s https://www.youtube.com/watch?v=dYvPCgcFDIo Extracting F0 with crepe... Computing control signals... Running model... Audio generated in 0.14 seconds. That's 141.6 times faster than the real time threshold! Saving result...Prediction
ben-hayes/neural-waveshaping-synthesis:0d8b1d7be262c95cde0b35bf15112d0faa43a3b456dd5bde0cc7ecc26ba7d0a9IDfxylcy4g4rdjvogw476hcwkasmStatusSucceededSourceWebHardware–Total duration–CreatedInput
- audio_file
- Video Player is loading.Current Time 00:00:000/Duration 00:00:000Loaded: 0%Stream 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.
- instrument
- Violin
- octave_shift
- "1"
- use_fastnewt
- loudness_floor
- "0"
- loudness_scale
- "0.5"
- pitch_smoothing
- "0"
- pitch_conf_filter
- "0"
- loudness_smoothing
- "0"
- loudness_conf_filter
- "0"
- use_full_crepe_model
{ "audio_file": "https://replicate.delivery/mgxm/b97b491a-4858-4a19-88c3-b3a05cf0a375/polska.mp3", "instrument": "Violin", "octave_shift": "1", "use_fastnewt": false, "loudness_floor": "0", "loudness_scale": "0.5", "pitch_smoothing": "0", "pitch_conf_filter": "0", "loudness_smoothing": "0", "loudness_conf_filter": "0", "use_full_crepe_model": true }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run ben-hayes/neural-waveshaping-synthesis using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "ben-hayes/neural-waveshaping-synthesis:0d8b1d7be262c95cde0b35bf15112d0faa43a3b456dd5bde0cc7ecc26ba7d0a9", { input: { audio_file: "https://replicate.delivery/mgxm/b97b491a-4858-4a19-88c3-b3a05cf0a375/polska.mp3", instrument: "Violin", octave_shift: "1", use_fastnewt: false, loudness_floor: "0", loudness_scale: "0.5", pitch_smoothing: "0", pitch_conf_filter: "0", loudness_smoothing: "0", loudness_conf_filter: "0", use_full_crepe_model: true } } ); 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 replicateImport the client:import replicateRun ben-hayes/neural-waveshaping-synthesis using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "ben-hayes/neural-waveshaping-synthesis:0d8b1d7be262c95cde0b35bf15112d0faa43a3b456dd5bde0cc7ecc26ba7d0a9", input={ "audio_file": "https://replicate.delivery/mgxm/b97b491a-4858-4a19-88c3-b3a05cf0a375/polska.mp3", "instrument": "Violin", "octave_shift": "1", "use_fastnewt": False, "loudness_floor": "0", "loudness_scale": "0.5", "pitch_smoothing": "0", "pitch_conf_filter": "0", "loudness_smoothing": "0", "loudness_conf_filter": "0", "use_full_crepe_model": True } ) # The ben-hayes/neural-waveshaping-synthesis 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/ben-hayes/neural-waveshaping-synthesis/api#output-schema print(item)To learn more, take a look at the guide on getting started with Python.
Run ben-hayes/neural-waveshaping-synthesis 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": "ben-hayes/neural-waveshaping-synthesis:0d8b1d7be262c95cde0b35bf15112d0faa43a3b456dd5bde0cc7ecc26ba7d0a9", "input": { "audio_file": "https://replicate.delivery/mgxm/b97b491a-4858-4a19-88c3-b3a05cf0a375/polska.mp3", "instrument": "Violin", "octave_shift": "1", "use_fastnewt": false, "loudness_floor": "0", "loudness_scale": "0.5", "pitch_smoothing": "0", "pitch_conf_filter": "0", "loudness_smoothing": "0", "loudness_conf_filter": "0", "use_full_crepe_model": true } }' \ 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%Stream 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": "2021-08-27T10:11:37.561817Z", "created_at": "2021-08-27T10:11:28.626252Z", "data_removed": false, "error": null, "id": "fxylcy4g4rdjvogw476hcwkasm", "input": { "audio_file": "https://replicate.delivery/mgxm/b97b491a-4858-4a19-88c3-b3a05cf0a375/polska.mp3", "instrument": "Violin", "octave_shift": "1", "use_fastnewt": false, "loudness_floor": "0", "loudness_scale": "0.5", "pitch_smoothing": "0", "pitch_conf_filter": "0", "loudness_smoothing": "0", "loudness_conf_filter": "0", "use_full_crepe_model": true }, "logs": "Reading input file...\nExtracting F0 with crepe...\nComputing control signals...\nRunning model...\nAudio generated in 0.14 seconds. That's 138.8 times faster than the real time threshold!\nSaving result...", "metrics": {}, "output": [ { "file": "https://replicate.delivery/mgxm/f9f427c6-b382-4c4f-9b93-df4819a329db/out.mp3" } ], "started_at": null, "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/fxylcy4g4rdjvogw476hcwkasm", "cancel": "https://api.replicate.com/v1/predictions/fxylcy4g4rdjvogw476hcwkasm/cancel" }, "version": "0d8b1d7be262c95cde0b35bf15112d0faa43a3b456dd5bde0cc7ecc26ba7d0a9" }Reading input file... Extracting F0 with crepe... Computing control signals... Running model... Audio generated in 0.14 seconds. That's 138.8 times faster than the real time threshold! Saving result...
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