Prediction

Model

flux-kontext-apps/place-it-overlay

tnnh953cg1rmc0cr87hrrwygz8

Status

Succeeded

Source

Web

Hardware

CPU (Small)

Total duration

14.6s

Created

5 months ago

Webhook

–

Input

input_image: https://replicate.delivery/pbxt/NQ5CYdHqiLE144eV8DBKSk14v4bB1hBOpOIz89NXURFxCshV/image.png
prompt: Place it
aspect_ratio: match_input_image
lora_strength: 1
output_format: webp

{
  "aspect_ratio": "match_input_image",
  "input_image": "https://replicate.delivery/pbxt/NQ5CYdHqiLE144eV8DBKSk14v4bB1hBOpOIz89NXURFxCshV/image.png",
  "lora_strength": 1,
  "output_format": "webp",
  "prompt": "Place it"
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_Pbs**********************************

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 flux-kontext-apps/place-it-overlay using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const input = {
  aspect_ratio: "match_input_image",
  input_image: "https://replicate.delivery/pbxt/NQ5CYdHqiLE144eV8DBKSk14v4bB1hBOpOIz89NXURFxCshV/image.png",
  lora_strength: 1,
  output_format: "webp",
  prompt: "Place it"
};

const output = await replicate.run("flux-kontext-apps/place-it-overlay", { 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_Pbs**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run flux-kontext-apps/place-it-overlay using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "flux-kontext-apps/place-it-overlay",
    input={
        "aspect_ratio": "match_input_image",
        "input_image": "https://replicate.delivery/pbxt/NQ5CYdHqiLE144eV8DBKSk14v4bB1hBOpOIz89NXURFxCshV/image.png",
        "lora_strength": 1,
        "output_format": "webp",
        "prompt": "Place it"
    }
)

# 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_Pbs**********************************

This is your API token. Keep it to yourself.

Run flux-kontext-apps/place-it-overlay 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": "match_input_image",
      "input_image": "https://replicate.delivery/pbxt/NQ5CYdHqiLE144eV8DBKSk14v4bB1hBOpOIz89NXURFxCshV/image.png",
      "lora_strength": 1,
      "output_format": "webp",
      "prompt": "Place it"
    }
  }' \
  https://api.replicate.com/v1/models/flux-kontext-apps/place-it-overlay/predictions

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

Output

Generated in

6.4 seconds

Tweak it Report