steps: 25
prompt: The deep growl of an alligator ripples through the swamp as reeds sway with a soft rustle and a turtle splashes into the murky water
duration: 10
guidance_scale: 4.5

{
  "steps": 25,
  "prompt": "The deep growl of an alligator ripples through the swamp as reeds sway with a soft rustle and a turtle splashes into the murky water",
  "duration": 10,
  "guidance_scale": 4.5
}

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 declare-lab/tangoflux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "declare-lab/tangoflux:fcdc421786888a045329d7c4e1874764433a2516b21f4c34bd3da4e054d04cf9",
  {
    input: {
      steps: 25,
      prompt: "The deep growl of an alligator ripples through the swamp as reeds sway with a soft rustle and a turtle splashes into the murky water",
      duration: 10,
      guidance_scale: 4.5
    }
  }
);

// 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 declare-lab/tangoflux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "declare-lab/tangoflux:fcdc421786888a045329d7c4e1874764433a2516b21f4c34bd3da4e054d04cf9",
    input={
        "steps": 25,
        "prompt": "The deep growl of an alligator ripples through the swamp as reeds sway with a soft rustle and a turtle splashes into the murky water",
        "duration": 10,
        "guidance_scale": 4.5
    }
)

# 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.

Run declare-lab/tangoflux 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": "declare-lab/tangoflux:fcdc421786888a045329d7c4e1874764433a2516b21f4c34bd3da4e054d04cf9",
    "input": {
      "steps": 25,
      "prompt": "The deep growl of an alligator ripples through the swamp as reeds sway with a soft rustle and a turtle splashes into the murky water",
      "duration": 10,
      "guidance_scale": 4.5
    }
  }' \
  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

Generated in

1.4 seconds

Tweak it Iterate in playground Share Report

Prediction

declare-lab/tangoflux:fcdc421786888a045329d7c4e1874764433a2516b21f4c34bd3da4e054d04cf9

Model

declare-lab/tangoflux:fcdc4217

65wf41aphxrma0cm3j7sdqja0c

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

1.4s

Created

8 months ago

Input

steps: 25
prompt: A train conductor blows a sharp whistle, metal wheels screech on the rails, and passengers murmur while settling into their seats
duration: 10
guidance_scale: 4.5

{
  "steps": 25,
  "prompt": "A train conductor blows a sharp whistle, metal wheels screech on the rails, and passengers murmur while settling into their seats",
  "duration": 10,
  "guidance_scale": 4.5
}

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 declare-lab/tangoflux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "declare-lab/tangoflux:fcdc421786888a045329d7c4e1874764433a2516b21f4c34bd3da4e054d04cf9",
  {
    input: {
      steps: 25,
      prompt: "A train conductor blows a sharp whistle, metal wheels screech on the rails, and passengers murmur while settling into their seats",
      duration: 10,
      guidance_scale: 4.5
    }
  }
);

// 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 declare-lab/tangoflux using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "declare-lab/tangoflux:fcdc421786888a045329d7c4e1874764433a2516b21f4c34bd3da4e054d04cf9",
    input={
        "steps": 25,
        "prompt": "A train conductor blows a sharp whistle, metal wheels screech on the rails, and passengers murmur while settling into their seats",
        "duration": 10,
        "guidance_scale": 4.5
    }
)

# 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.

Run declare-lab/tangoflux 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": "declare-lab/tangoflux:fcdc421786888a045329d7c4e1874764433a2516b21f4c34bd3da4e054d04cf9",
    "input": {
      "steps": 25,
      "prompt": "A train conductor blows a sharp whistle, metal wheels screech on the rails, and passengers murmur while settling into their seats",
      "duration": 10,
      "guidance_scale": 4.5
    }
  }' \
  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

Generated in

1.4 seconds

Tweak it Iterate in playground Share Report

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Prediction

Input

Output

Prediction

Input

Output

Logs (h3a5rtr9wsrm80cm3j7r1akz6c)

Logs (65wf41aphxrma0cm3j7sdqja0c)