Prediction

Official model

openai/gpt-image-1

66fb5tq3n9rma0cpfkvs4ay9sm

Status

Succeeded

Source

Web

Total duration

41.3s

Created

8 months ago by fofr

Webhook

–

Input

openai_api_key: [REDACTED]
prompt: <today's date>
aspect_ratio: 3:2
number_of_images: 2
quality: auto
background: auto
output_compression: 90
output_format: webp
moderation: auto

{
  "aspect_ratio": "3:2",
  "background": "auto",
  "moderation": "auto",
  "number_of_images": 2,
  "openai_api_key": "[REDACTED]",
  "output_compression": 90,
  "output_format": "webp",
  "prompt": "<today's date>",
  "quality": "auto"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_3wK**********************************

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 openai/gpt-image-1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const input = {
  aspect_ratio: "3:2",
  background: "auto",
  moderation: "auto",
  number_of_images: 2,
  openai_api_key: "[REDACTED]",
  output_compression: 90,
  output_format: "webp",
  prompt: "<today's date>",
  quality: "auto"
};

const output = await replicate.run("openai/gpt-image-1", { input });

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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_3wK**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run openai/gpt-image-1 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "openai/gpt-image-1",
    input={
        "aspect_ratio": "3:2",
        "background": "auto",
        "moderation": "auto",
        "number_of_images": 2,
        "openai_api_key": "[REDACTED]",
        "output_compression": 90,
        "output_format": "webp",
        "prompt": "<today's date>",
        "quality": "auto"
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].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_3wK**********************************

This is your API token. Keep it to yourself.

Run openai/gpt-image-1 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": "3:2",
      "background": "auto",
      "moderation": "auto",
      "number_of_images": 2,
      "openai_api_key": "[REDACTED]",
      "output_compression": 90,
      "output_format": "webp",
      "prompt": "<today\'s date>",
      "quality": "auto"
    }
  }' \
  https://api.replicate.com/v1/models/openai/gpt-image-1/predictions

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

Output

Generated in

41.3 seconds

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