ttsds / bark_small

text: With tenure, Suzie'd have all the more leisure for yachting, but her publications are no good.
language: en
speaker_reference: Video Player is loading.
Current Time 00:00:000
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Stream Type LIVE
Remaining Time 00:00:000

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{
  "text": "With tenure, Suzie'd have all the more leisure for yachting, but her publications are no good.",
  "language": "en",
  "speaker_reference": "https://replicate.delivery/pbxt/MNFXdPaUPOwYCZjZM4azsymbzE2TCV2WJXfGpeV2DrFWaSq8/example_en.wav"
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run ttsds/bark_small using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "ttsds/bark_small:e0e4df86d3dd484bcb7b693077929005d4222d1bbdccf7afed3eccee06b0bbea",
  {
    input: {
      text: "With tenure, Suzie'd have all the more leisure for yachting, but her publications are no good.",
      language: "en",
      speaker_reference: "https://replicate.delivery/pbxt/MNFXdPaUPOwYCZjZM4azsymbzE2TCV2WJXfGpeV2DrFWaSq8/example_en.wav"
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", 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

Import the client:

import replicate

Run ttsds/bark_small using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "ttsds/bark_small:e0e4df86d3dd484bcb7b693077929005d4222d1bbdccf7afed3eccee06b0bbea",
    input={
        "text": "With tenure, Suzie'd have all the more leisure for yachting, but her publications are no good.",
        "language": "en",
        "speaker_reference": "https://replicate.delivery/pbxt/MNFXdPaUPOwYCZjZM4azsymbzE2TCV2WJXfGpeV2DrFWaSq8/example_en.wav"
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run ttsds/bark_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": "ttsds/bark_small:e0e4df86d3dd484bcb7b693077929005d4222d1bbdccf7afed3eccee06b0bbea",
    "input": {
      "text": "With tenure, Suzie\'d have all the more leisure for yachting, but her publications are no good.",
      "language": "en",
      "speaker_reference": "https://replicate.delivery/pbxt/MNFXdPaUPOwYCZjZM4azsymbzE2TCV2WJXfGpeV2DrFWaSq8/example_en.wav"
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

Output

Video Player is loading.

Current Time 00:00:000

Duration 00:00:000

Loaded: 0%

Stream Type LIVE

Remaining Time 00:00:000

{
  "completed_at": "2025-01-27T11:08:52.457579Z",
  "created_at": "2025-01-27T11:06:43.837000Z",
  "data_removed": false,
  "error": null,
  "id": "5gq40x1wznrm80cmmxrt9ahprw",
  "input": {
    "text": "With tenure, Suzie'd have all the more leisure for yachting, but her publications are no good.",
    "language": "en",
    "speaker_reference": "https://replicate.delivery/pbxt/MNFXdPaUPOwYCZjZM4azsymbzE2TCV2WJXfGpeV2DrFWaSq8/example_en.wav"
  },
  "logs": "Extracting semantics...\nTokenizing semantics...\nCreating coarse and fine prompts...\n  0%|          | 0/768 [00:00<?, ?it/s]\n  0%|          | 1/768 [00:00<02:24,  5.30it/s]\n  7%|▋         | 51/768 [00:00<00:03, 216.88it/s]\n 13%|█▎        | 101/768 [00:00<00:02, 323.91it/s]\n 20%|█▉        | 152/768 [00:00<00:01, 387.07it/s]\n 26%|██▋       | 202/768 [00:00<00:01, 422.59it/s]\n 33%|███▎      | 252/768 [00:00<00:01, 445.04it/s]\n 39%|███▉      | 303/768 [00:00<00:01, 462.92it/s]\n 46%|████▌     | 354/768 [00:00<00:00, 474.85it/s]\n 53%|█████▎    | 404/768 [00:00<00:00, 482.02it/s]\n 59%|█████▉    | 455/768 [00:01<00:00, 487.87it/s]\n 66%|██████▌   | 506/768 [00:01<00:00, 493.62it/s]\n 73%|███████▎  | 557/768 [00:01<00:00, 496.55it/s]\n100%|██████████| 594/594 [00:01<00:00, 496.55it/s]\n100%|██████████| 594/594 [00:01<00:00, 431.53it/s]\n  0%|          | 0/30 [00:00<?, ?it/s]\n  3%|▎         | 1/30 [00:00<00:03,  7.93it/s]\n  7%|▋         | 2/30 [00:00<00:03,  8.30it/s]\n 10%|█         | 3/30 [00:00<00:03,  8.45it/s]\n 13%|█▎        | 4/30 [00:00<00:03,  8.54it/s]\n 17%|█▋        | 5/30 [00:00<00:02,  8.59it/s]\n 20%|██        | 6/30 [00:00<00:02,  8.59it/s]\n 23%|██▎       | 7/30 [00:00<00:02,  8.64it/s]\n 27%|██▋       | 8/30 [00:00<00:02,  8.67it/s]\n 30%|███       | 9/30 [00:01<00:02,  8.70it/s]\n 33%|███▎      | 10/30 [00:01<00:02,  8.72it/s]\n 37%|███▋      | 11/30 [00:01<00:02,  8.73it/s]\n 40%|████      | 12/30 [00:01<00:02,  8.73it/s]\n 43%|████▎     | 13/30 [00:01<00:01,  8.74it/s]\n 47%|████▋     | 14/30 [00:01<00:01,  8.73it/s]\n 50%|█████     | 15/30 [00:01<00:01,  8.73it/s]\n 53%|█████▎    | 16/30 [00:01<00:01,  8.74it/s]\n 57%|█████▋    | 17/30 [00:01<00:01,  8.75it/s]\n 60%|██████    | 18/30 [00:02<00:01,  8.75it/s]\n 63%|██████▎   | 19/30 [00:02<00:01,  8.75it/s]\n 67%|██████▋   | 20/30 [00:02<00:01,  8.69it/s]\n 70%|███████   | 21/30 [00:02<00:01,  8.70it/s]\n 73%|███████▎  | 22/30 [00:02<00:00,  8.72it/s]\n 77%|███████▋  | 23/30 [00:02<00:00,  8.73it/s]\n 80%|████████  | 24/30 [00:02<00:00,  8.74it/s]\n 83%|████████▎ | 25/30 [00:02<00:00,  8.70it/s]\n 87%|████████▋ | 26/30 [00:02<00:00,  8.72it/s]\n 90%|█████████ | 27/30 [00:03<00:00,  8.71it/s]\n 93%|█████████▎| 28/30 [00:03<00:00,  8.67it/s]\n 97%|█████████▋| 29/30 [00:03<00:00,  8.69it/s]\n100%|██████████| 30/30 [00:03<00:00,  8.76it/s]",
  "metrics": {
    "predict_time": 5.463757617,
    "total_time": 128.620579
  },
  "output": "https://replicate.delivery/xezq/WOBvQ5Q2JlLvJhj1Erj7RUvpq585eQnFCbe31ZYgvMLEtRJUA/test_pred.wav",
  "started_at": "2025-01-27T11:08:46.993821Z",
  "status": "succeeded",
  "urls": {
    "stream": "https://stream.replicate.com/v1/files/bsvm-3iproag4scqrqdwypbylyhpjd7z6shcm6f6p32sktzqokxd2cufq",
    "get": "https://api.replicate.com/v1/predictions/5gq40x1wznrm80cmmxrt9ahprw",
    "cancel": "https://api.replicate.com/v1/predictions/5gq40x1wznrm80cmmxrt9ahprw/cancel"
  },
  "version": "e0e4df86d3dd484bcb7b693077929005d4222d1bbdccf7afed3eccee06b0bbea"
}

Generated in

5.5 seconds

Tweak it Share Report

Extracting semantics...
Tokenizing semantics...
Creating coarse and fine prompts...
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