Prediction

Official model

recraft-ai/recraft-v4

1ryfjv4t1xrmr0cwe6vrzdqr0w

Status

Succeeded

Source

API

Total duration

40.8s

Created

about 14 hours ago

Webhook

–

Input

prompt: Close-up macro photograph of a fresh strawberry on a white background, water droplets on the surface, vibrant red color, sharp detail on seeds and texture, clean food photography with soft diffused lighting
aspect_ratio: 1:1

{
  "aspect_ratio": "1:1",
  "prompt": "Close-up macro photograph of a fresh strawberry on a white background, water droplets on the surface, vibrant red color, sharp detail on seeds and texture, clean food photography with soft diffused lighting"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_ALW**********************************

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 recraft-ai/recraft-v4 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const input = {
  aspect_ratio: "1:1",
  prompt: "Close-up macro photograph of a fresh strawberry on a white background, water droplets on the surface, vibrant red color, sharp detail on seeds and texture, clean food photography with soft diffused lighting"
};

const output = await replicate.run("recraft-ai/recraft-v4", { 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_ALW**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run recraft-ai/recraft-v4 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "recraft-ai/recraft-v4",
    input={
        "aspect_ratio": "1:1",
        "prompt": "Close-up macro photograph of a fresh strawberry on a white background, water droplets on the surface, vibrant red color, sharp detail on seeds and texture, clean food photography with soft diffused lighting"
    }
)

# 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_ALW**********************************

This is your API token. Keep it to yourself.

Run recraft-ai/recraft-v4 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": "1:1",
      "prompt": "Close-up macro photograph of a fresh strawberry on a white background, water droplets on the surface, vibrant red color, sharp detail on seeds and texture, clean food photography with soft diffused lighting"
    }
  }' \
  https://api.replicate.com/v1/models/recraft-ai/recraft-v4/predictions

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

Output

Generated in

40.8 seconds

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