zsxkib/dia:91a8c206 – Run with an API on Replicate

Version

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zsxkib /dia:91a8c206

Input

text

*string

Shift + Return to add a new line

Input text for dialogue generation. Use [S1], [S2] to indicate different speakers and (description) in parentheses for non-verbal cues e.g., (laughs), (whispers).

cfg_scale

number

(minimum: 1, maximum: 5)

Controls how closely the audio follows your text. Higher values (3-5) follow text more strictly; lower values may sound more natural but deviate more.

Default: 3

temperature

number

(minimum: 0.1, maximum: 2)

Controls randomness in generation. Higher values (1.3-2.0) increase variety; lower values (0.1-0.9) make output more consistent and predictable.

Default: 1.3

top_p

number

(minimum: 0.1, maximum: 1)

Controls diversity of word choice. Higher values include more unusual options. Most users shouldn't need to adjust this parameter.

Default: 0.95

speed_factor

number

(minimum: 0.5, maximum: 1.5)

Adjusts playback speed of the generated audio. Values below 1.0 slow down the audio; 1.0 is original speed.

Default: 0.94

seed

integer

Random seed for reproducible results. Use the same seed value to get the same output for identical inputs. Leave blank for random results each time.

Including audio_prompt and 2 more...

Run this model in Node.js with one line of code:

npx create-replicate --model=zsxkib/dia

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_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 zsxkib/dia using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "zsxkib/dia:91a8c20638a5ec7715dd1a9516e7b371dde2f12544467d8f716681b1672fbac5",
  {
    input: {
      top_p: 0.95,
      cfg_scale: 3,
      temperature: 1.3,
      speed_factor: 0.94,
      max_new_tokens: 3072,
      cfg_filter_top_k: 35
    }
  }
);

// 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=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

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

output = replicate.run(
    "zsxkib/dia:91a8c20638a5ec7715dd1a9516e7b371dde2f12544467d8f716681b1672fbac5",
    input={
        "top_p": 0.95,
        "cfg_scale": 3,
        "temperature": 1.3,
        "speed_factor": 0.94,
        "max_new_tokens": 3072,
        "cfg_filter_top_k": 35
    }
)
print(output)

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=<paste-your-token-here>

Find your API token in your account settings.

Run zsxkib/dia 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": "zsxkib/dia:91a8c20638a5ec7715dd1a9516e7b371dde2f12544467d8f716681b1672fbac5",
    "input": {
      "top_p": 0.95,
      "cfg_scale": 3,
      "temperature": 1.3,
      "speed_factor": 0.94,
      "max_new_tokens": 3072,
      "cfg_filter_top_k": 35
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

No output yet! Press "Submit" to start a prediction.