Prediction

Official model

runwayml/gen-4.5

3w3dfb5wxdrmw0cwdt1v9ngfw0

Status

Succeeded

Source

Web

Total duration

3m 49s

Created

2 months ago by runwayml

Webhook

–

Input

prompt: A dense, verdant jungle world made up of small lego-like pieces. We see a rainbow chameleon running through the 3D world, the camera in and out of focus.
aspect_ratio: 16:9
duration: 10

{
  "aspect_ratio": "16:9",
  "duration": 10,
  "prompt": "A dense, verdant jungle world made up of small lego-like pieces. We see a rainbow chameleon running through the 3D world, the camera in and out of focus."
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_Ed9**********************************

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 runwayml/gen-4.5 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const input = {
  aspect_ratio: "16:9",
  duration: 10,
  prompt: "A dense, verdant jungle world made up of small lego-like pieces. We see a rainbow chameleon running through the 3D world, the camera in and out of focus."
};

const output = await replicate.run("runwayml/gen-4.5", { 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_Ed9**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run runwayml/gen-4.5 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "runwayml/gen-4.5",
    input={
        "aspect_ratio": "16:9",
        "duration": 10,
        "prompt": "A dense, verdant jungle world made up of small lego-like pieces. We see a rainbow chameleon running through the 3D world, the camera in and out of focus."
    }
)

# 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_Ed9**********************************

This is your API token. Keep it to yourself.

Run runwayml/gen-4.5 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": {
      "aspect_ratio": "16:9",
      "duration": 10,
      "prompt": "A dense, verdant jungle world made up of small lego-like pieces. We see a rainbow chameleon running through the 3D world, the camera in and out of focus."
    }
  }' \
  https://api.replicate.com/v1/models/runwayml/gen-4.5/predictions

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

Output

Generated in

3 minutes 49 seconds

Tweak it Iterate in playground Report