Prediction

Official model

runwayml/gen4-image

w794379qssrm80cqwr2rpaapsc

Status

Succeeded

Source

Web

Total duration

35.7s

Created

5 months ago by lucataco

Webhook

–

Input

prompt: a close up photo of @woman and @friend lounging on the sofa in @living_room, it is evening and low light
aspect_ratio: 4:3
resolution: 1080p
reference_images: https://replicate.delivery/pbxt/NGEXyNlRyT6OFrrscxAae4lLm6PJTOKjjvYTrfJljtUuQdVL/0_1%20copy.jpg
https://replicate.delivery/pbxt/NGEjBFBUKPjuDeiOhCsQTFPUnAC1cElJClWuyit8hPmSIZPo/out-0-1.webp
https://replicate.delivery/pbxt/NJkc6nEP7g1NiDHF7v4n8xn64qbJe9VH4zZ8kfh5HsBEqwQe/jennai.webp
reference_tags: woman, living_room, friend

{
  "aspect_ratio": "4:3",
  "prompt": "a close up photo of @woman and @friend lounging on the sofa in @living_room, it is evening and low light",
  "reference_images": [
    "https://replicate.delivery/pbxt/NGEXyNlRyT6OFrrscxAae4lLm6PJTOKjjvYTrfJljtUuQdVL/0_1%20copy.jpg",
    "https://replicate.delivery/pbxt/NGEjBFBUKPjuDeiOhCsQTFPUnAC1cElJClWuyit8hPmSIZPo/out-0-1.webp",
    "https://replicate.delivery/pbxt/NJkc6nEP7g1NiDHF7v4n8xn64qbJe9VH4zZ8kfh5HsBEqwQe/jennai.webp"
  ],
  "reference_tags": [
    "woman",
    "living_room",
    "friend"
  ],
  "resolution": "1080p"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_Dda**********************************

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/gen4-image using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const input = {
  aspect_ratio: "4:3",
  prompt: "a close up photo of @woman and @friend lounging on the sofa in @living_room, it is evening and low light",
  reference_images: ["https://replicate.delivery/pbxt/NGEXyNlRyT6OFrrscxAae4lLm6PJTOKjjvYTrfJljtUuQdVL/0_1%20copy.jpg","https://replicate.delivery/pbxt/NGEjBFBUKPjuDeiOhCsQTFPUnAC1cElJClWuyit8hPmSIZPo/out-0-1.webp","https://replicate.delivery/pbxt/NJkc6nEP7g1NiDHF7v4n8xn64qbJe9VH4zZ8kfh5HsBEqwQe/jennai.webp"],
  reference_tags: ["woman","living_room","friend"],
  resolution: "1080p"
};

const output = await replicate.run("runwayml/gen4-image", { 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_Dda**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run runwayml/gen4-image using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "runwayml/gen4-image",
    input={
        "aspect_ratio": "4:3",
        "prompt": "a close up photo of @woman and @friend lounging on the sofa in @living_room, it is evening and low light",
        "reference_images": ["https://replicate.delivery/pbxt/NGEXyNlRyT6OFrrscxAae4lLm6PJTOKjjvYTrfJljtUuQdVL/0_1%20copy.jpg","https://replicate.delivery/pbxt/NGEjBFBUKPjuDeiOhCsQTFPUnAC1cElJClWuyit8hPmSIZPo/out-0-1.webp","https://replicate.delivery/pbxt/NJkc6nEP7g1NiDHF7v4n8xn64qbJe9VH4zZ8kfh5HsBEqwQe/jennai.webp"],
        "reference_tags": ["woman","living_room","friend"],
        "resolution": "1080p"
    }
)

# 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_Dda**********************************

This is your API token. Keep it to yourself.

Run runwayml/gen4-image 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": "4:3",
      "prompt": "a close up photo of @woman and @friend lounging on the sofa in @living_room, it is evening and low light",
      "reference_images": ["https://replicate.delivery/pbxt/NGEXyNlRyT6OFrrscxAae4lLm6PJTOKjjvYTrfJljtUuQdVL/0_1%20copy.jpg","https://replicate.delivery/pbxt/NGEjBFBUKPjuDeiOhCsQTFPUnAC1cElJClWuyit8hPmSIZPo/out-0-1.webp","https://replicate.delivery/pbxt/NJkc6nEP7g1NiDHF7v4n8xn64qbJe9VH4zZ8kfh5HsBEqwQe/jennai.webp"],
      "reference_tags": ["woman","living_room","friend"],
      "resolution": "1080p"
    }
  }' \
  https://api.replicate.com/v1/models/runwayml/gen4-image/predictions

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

Output

Generated in

35.7 seconds

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