Prediction

Official model

resemble-ai/chatterbox

g7r2drc7psrmc0cqckasg1z4ec

Status

Succeeded

Source

Web

Total duration

12.8s

Created

6 months ago

Webhook

–

Input

prompt: We're excited to introduce Chatterbox, our first production-grade open source TTS model. Licensed under MIT, Chatterbox has been benchmarked against leading closed-source systems like ElevenLabs, and is consistently preferred in side-by-side evaluations. Whether you're working on memes, videos, games, or AI agents, Chatterbox brings your content to life. It's also the first open source TTS model to support emotion exaggeration control, a powerful feature that makes your voices stand out. Try it now on our Hugging Face Gradio app. If you like the model but need to scale or finetune it for higher accuracy, check out our competitively priced TTS service (link). It delivers reliable performance with ultra-low latency of sub 200ms—ideal for production use in agents, applications, or interactive media.
exaggeration: 0.5
cfg_weight: 0.5
temperature: 0.8
seed: 0

{
  "cfg_weight": 0.5,
  "exaggeration": 0.5,
  "prompt": "We're excited to introduce Chatterbox, our first production-grade open source TTS model. Licensed under MIT, Chatterbox has been benchmarked against leading closed-source systems like ElevenLabs, and is consistently preferred in side-by-side evaluations.\n\nWhether you're working on memes, videos, games, or AI agents, Chatterbox brings your content to life. It's also the first open source TTS model to support emotion exaggeration control, a powerful feature that makes your voices stand out. Try it now on our Hugging Face Gradio app.\n\nIf you like the model but need to scale or finetune it for higher accuracy, check out our competitively priced TTS service (link). It delivers reliable performance with ultra-low latency of sub 200ms—ideal for production use in agents, applications, or interactive media.",
  "seed": 0,
  "temperature": 0.8
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_ebV**********************************

This is your API token. Keep it to yourself.

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 resemble-ai/chatterbox using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const input = {
  cfg_weight: 0.5,
  exaggeration: 0.5,
  prompt: "We're excited to introduce Chatterbox, our first production-grade open source TTS model. Licensed under MIT, Chatterbox has been benchmarked against leading closed-source systems like ElevenLabs, and is consistently preferred in side-by-side evaluations.\n\nWhether you're working on memes, videos, games, or AI agents, Chatterbox brings your content to life. It's also the first open source TTS model to support emotion exaggeration control, a powerful feature that makes your voices stand out. Try it now on our Hugging Face Gradio app.\n\nIf you like the model but need to scale or finetune it for higher accuracy, check out our competitively priced TTS service (link). It delivers reliable performance with ultra-low latency of sub 200ms—ideal for production use in agents, applications, or interactive media.",
  seed: 0,
  temperature: 0.8
};

const output = await replicate.run("resemble-ai/chatterbox", { input });

// 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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_ebV**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run resemble-ai/chatterbox using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "resemble-ai/chatterbox",
    input={
        "cfg_weight": 0.5,
        "exaggeration": 0.5,
        "prompt": "We're excited to introduce Chatterbox, our first production-grade open source TTS model. Licensed under MIT, Chatterbox has been benchmarked against leading closed-source systems like ElevenLabs, and is consistently preferred in side-by-side evaluations.\n\nWhether you're working on memes, videos, games, or AI agents, Chatterbox brings your content to life. It's also the first open source TTS model to support emotion exaggeration control, a powerful feature that makes your voices stand out. Try it now on our Hugging Face Gradio app.\n\nIf you like the model but need to scale or finetune it for higher accuracy, check out our competitively priced TTS service (link). It delivers reliable performance with ultra-low latency of sub 200ms—ideal for production use in agents, applications, or interactive media.",
        "seed": 0,
        "temperature": 0.8
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_ebV**********************************

This is your API token. Keep it to yourself.

Run resemble-ai/chatterbox 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 $'{
    "input": {
      "cfg_weight": 0.5,
      "exaggeration": 0.5,
      "prompt": "We\'re excited to introduce Chatterbox, our first production-grade open source TTS model. Licensed under MIT, Chatterbox has been benchmarked against leading closed-source systems like ElevenLabs, and is consistently preferred in side-by-side evaluations.\\n\\nWhether you\'re working on memes, videos, games, or AI agents, Chatterbox brings your content to life. It\'s also the first open source TTS model to support emotion exaggeration control, a powerful feature that makes your voices stand out. Try it now on our Hugging Face Gradio app.\\n\\nIf you like the model but need to scale or finetune it for higher accuracy, check out our competitively priced TTS service (link). It delivers reliable performance with ultra-low latency of sub 200ms—ideal for production use in agents, applications, or interactive media.",
      "seed": 0,
      "temperature": 0.8
    }
  }' \
  https://api.replicate.com/v1/models/resemble-ai/chatterbox/predictions

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

Output

{
  "id": "g7r2drc7psrmc0cqckasg1z4ec",
  "model": "resemble-ai/chatterbox",
  "version": "hidden",
  "input": {
    "cfg_weight": 0.5,
    "exaggeration": 0.5,
    "prompt": "We're excited to introduce Chatterbox, our first production-grade open source TTS model. Licensed under MIT, Chatterbox has been benchmarked against leading closed-source systems like ElevenLabs, and is consistently preferred in side-by-side evaluations.\n\nWhether you're working on memes, videos, games, or AI agents, Chatterbox brings your content to life. It's also the first open source TTS model to support emotion exaggeration control, a powerful feature that makes your voices stand out. Try it now on our Hugging Face Gradio app.\n\nIf you like the model but need to scale or finetune it for higher accuracy, check out our competitively priced TTS service (link). It delivers reliable performance with ultra-low latency of sub 200ms—ideal for production use in agents, applications, or interactive media.",
    "seed": 0,
    "temperature": 0.8
  },
  "logs": "Using seed: 35127\nPrompt: We're excited to introduce Chatterbox, our first production-grade open source TTS model. Licensed under MIT, Chatterbox has been benchmarked against leading closed-source systems like ElevenLabs, and is consistently preferred in side-by-side evaluations.\nWhether you're working on memes, videos, games, or AI agents, Chatterbox brings your content to life. It's also the first open source TTS model to support emotion exaggeration control, a powerful feature that makes your voices stand out. Try it now on our Hugging Face Gradio app.\nIf you like the model but need to scale or finetune it for higher accuracy, check out our competitively priced TTS service (link). It delivers reliable performance with ultra-low latency of sub 200ms—ideal for production use in agents, applications, or interactive media.\n/root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/cog/server/scope.py:22: ExperimentalFeatureWarning: current_scope is an experimental internal function. It may change or be removed without warning.\nwarnings.warn(\n/root/.pyenv/versions/3.11.10/lib/python3.11/contextlib.py:105: FutureWarning: `torch.backends.cuda.sdp_kernel()` is deprecated. In the future, this context manager will be removed. Please see `torch.nn.attention.sdpa_kernel()` for the new context manager, with updated signature.\nself.gen = func(*args, **kwds)\nSampling:   0%|          | 0/1000 [00:00<?, ?it/s]\nSampling:   1%|          | 6/1000 [00:00<00:18, 55.18it/s]\nSampling:   2%|▏         | 15/1000 [00:00<00:13, 74.76it/s]\nSampling:   2%|▏         | 24/1000 [00:00<00:12, 81.19it/s]\nSampling:   3%|▎         | 33/1000 [00:00<00:11, 83.63it/s]\nSampling:   4%|▍         | 42/1000 [00:00<00:11, 85.73it/s]\nSampling:   5%|▌         | 51/1000 [00:00<00:10, 87.05it/s]\nSampling:   6%|▌         | 61/1000 [00:00<00:10, 88.09it/s]\nSampling:   7%|▋         | 70/1000 [00:00<00:10, 88.63it/s]\nSampling:   8%|▊         | 79/1000 [00:00<00:10, 88.90it/s]\nSampling:   9%|▉         | 88/1000 [00:01<00:10, 89.23it/s]\nSampling:  10%|▉         | 98/1000 [00:01<00:10, 89.51it/s]\nSampling:  11%|█         | 107/1000 [00:01<00:10, 88.86it/s]\nSampling:  12%|█▏        | 116/1000 [00:01<00:09, 88.84it/s]\nSampling:  12%|█▎      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[00:10<00:01, 84.38it/s]\nSampling:  86%|████████▌ | 862/1000 [00:10<00:01, 84.34it/s]\nSampling:  87%|████████▋ | 871/1000 [00:10<00:01, 80.87it/s]\nSampling:  88%|████████▊ | 880/1000 [00:10<00:01, 81.79it/s]\nSampling:  89%|████████▉ | 889/1000 [00:10<00:01, 81.93it/s]\nSampling:  90%|████████▉ | 898/1000 [00:10<00:01, 83.45it/s]\nSampling:  91%|█████████ | 907/1000 [00:10<00:01, 84.63it/s]\nSampling:  92%|█████████▏| 916/1000 [00:10<00:00, 85.65it/s]\nSampling:  92%|█████████▎| 925/1000 [00:10<00:00, 86.04it/s]\nSampling:  93%|█████████▎| 934/1000 [00:11<00:00, 84.32it/s]\nSampling:  94%|█████████▍| 943/1000 [00:11<00:00, 84.61it/s]\nSampling:  95%|█████████▌| 952/1000 [00:11<00:00, 85.10it/s]\nSampling:  96%|█████████▌| 961/1000 [00:11<00:00, 84.62it/s]\nSampling:  97%|█████████▋| 970/1000 [00:11<00:00, 85.25it/s]\nSampling:  98%|█████████▊| 979/1000 [00:11<00:00, 85.66it/s]\nSampling:  98%|█████████▊| 981/1000 [00:11<00:00, 84.85it/s]\nInput character count: 809\nCharacters per second: 63.55\nTotal time: 12.73s",
  "output": "https://replicate.delivery/xezq/xx8Wscg0ve0gfko6krsG77SUuy7ZsQINBrJuRgq6GfCzJVspA/output.wav",
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2025-06-12T15:50:04.982Z",
  "started_at": "2025-06-12T15:50:04.991055Z",
  "completed_at": "2025-06-12T15:50:17.756333Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/g7r2drc7psrmc0cqckasg1z4ec/cancel",
    "get": "https://api.replicate.com/v1/predictions/g7r2drc7psrmc0cqckasg1z4ec",
    "stream": "https://stream.replicate.com/v1/files/bcwr-alelxyvdrsmhelqnady6t6w6p7mnhz4vsvyaa2zviel5mupyrbaa",
    "web": "https://replicate.com/p/g7r2drc7psrmc0cqckasg1z4ec"
  },
  "metrics": {
    "input_token_count": 161,
    "output_token_count": 1,
    "predict_time": 12.765277608,
    "time_to_first_token": 0.009085425000000001,
    "tokens_per_second": 0.07833769183347587,
    "total_time": 12.774333
  }
}

Generated in

12.8 seconds

Input tokens

160

Output tokens

Tokens per second

0.08 tokens / second

Time to first token

9 milliseconds

Tweak it Iterate in playground Report

Using seed: 35127 Prompt: We're excited to introduce Chatterbox, our first production-grade open source TTS model. Licensed under MIT, Chatterbox has been benchmarked against leading closed-source systems like ElevenLabs, and is consistently preferred in side-by-side evaluations. Whether you're working on memes, videos, games, or AI agents, Chatterbox brings your content to life. It's also the first open source TTS model to support emotion exaggeration control, a powerful feature that makes your voices stand out. Try it now on our Hugging Face Gradio app. If you like the model but need to scale or finetune it for higher accuracy, check out our competitively priced TTS service (link). It delivers reliable performance with ultra-low latency of sub 200ms—ideal for production use in agents, applications, or interactive media. /root/.pyenv/versions/3.11.10/lib/python3.11/site-packages/cog/server/scope.py:22: ExperimentalFeatureWarning: current_scope is an experimental internal function. It may change or be removed without warning. warnings.warn( /root/.pyenv/versions/3.11.10/lib/python3.11/contextlib.py:105: FutureWarning: `torch.backends.cuda.sdp_kernel()` is deprecated. In the future, this context manager will be removed. Please see `torch.nn.attention.sdpa_kernel()` for the new context manager, with updated signature. self.gen = func(*args, **kwds) Sampling: 0%| | 0/1000 [00:00<?, ?it/s] Sampling: 1%| | 6/1000 [00:00<00:18, 55.18it/s] Sampling: 2%|▏ | 15/1000 [00:00<00:13, 74.76it/s] Sampling: 2%|▏ | 24/1000 [00:00<00:12, 81.19it/s] Sampling: 3%|▎ | 33/1000 [00:00<00:11, 83.63it/s] Sampling: 4%|▍ | 42/1000 [00:00<00:11, 85.73it/s] Sampling: 5%|▌ | 51/1000 [00:00<00:10, 87.05it/s] Sampling: 6%|▌ | 61/1000 [00:00<00:10, 88.09it/s] Sampling: 7%|▋ | 70/1000 [00:00<00:10, 88.63it/s] Sampling: 8%|▊ | 79/1000 [00:00<00:10, 88.90it/s] Sampling: 9%|▉ | 88/1000 [00:01<00:10, 89.23it/s] Sampling: 10%|▉ | 98/1000 [00:01<00:10, 89.51it/s] Sampling: 11%|█ | 107/1000 [00:01<00:10, 88.86it/s] Sampling: 12%|█▏ | 116/1000 [00:01<00:09, 88.84it/s] Sampling: 12%|█▎ | 125/1000 [00:01<00:10, 85.84it/s] Sampling: 13%|█▎ | 134/1000 [00:01<00:09, 86.92it/s] Sampling: 14%|█▍ | 143/1000 [00:01<00:09, 87.78it/s] Sampling: 15%|█▌ 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84.61it/s] Sampling: 95%|█████████▌| 952/1000 [00:11<00:00, 85.10it/s] Sampling: 96%|█████████▌| 961/1000 [00:11<00:00, 84.62it/s] Sampling: 97%|█████████▋| 970/1000 [00:11<00:00, 85.25it/s] Sampling: 98%|█████████▊| 979/1000 [00:11<00:00, 85.66it/s] Sampling: 98%|█████████▊| 981/1000 [00:11<00:00, 84.85it/s] Input character count: 809 Characters per second: 63.55 Total time: 12.73s