An experimental model with FLUX Kontext Pro that can combine two input images

1.6M runs

$0.04 per output image

Playground API Examples README

Prediction

flux-kontext-apps/multi-image-kontext-pro

Official model

flux-kontext-apps/multi-image-kontext-pro

e5zd31ka3drme0cq6vwts2zwxw

Status

Succeeded

Source

Web

Total duration

8.6s

Created

6 months ago

Input

prompt: Put the woman next to the house
aspect_ratio: match_input_image
input_image_1
input_image_2
output_format: png
safety_tolerance: 2

{
  "prompt": "Put the woman next to the house",
  "aspect_ratio": "match_input_image",
  "input_image_1": "https://replicate.delivery/pbxt/N7gRAUNcVF6HarL0hdAQA2JYNMlJD52LP1wyaIWRUXWeHzqT/0_1-1.webp",
  "input_image_2": "https://replicate.delivery/pbxt/N7gRAK5kbPwdsbOpqgyAIOFQX45U6suTlbL6ws2N74SnGFpo/test.jpg",
  "output_format": "png",
  "safety_tolerance": 2
}

Install Replicate’s Node.js client library:

npm install replicate

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

const input = {
  prompt: "Put the woman next to the house",
  aspect_ratio: "match_input_image",
  input_image_1: "https://replicate.delivery/pbxt/N7gRAUNcVF6HarL0hdAQA2JYNMlJD52LP1wyaIWRUXWeHzqT/0_1-1.webp",
  input_image_2: "https://replicate.delivery/pbxt/N7gRAK5kbPwdsbOpqgyAIOFQX45U6suTlbL6ws2N74SnGFpo/test.jpg",
  output_format: "png",
  safety_tolerance: 2
};

const output = await replicate.run("flux-kontext-apps/multi-image-kontext-pro", { 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

Import the client:

import replicate

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

output = replicate.run(
    "flux-kontext-apps/multi-image-kontext-pro",
    input={
        "prompt": "Put the woman next to the house",
        "aspect_ratio": "match_input_image",
        "input_image_1": "https://replicate.delivery/pbxt/N7gRAUNcVF6HarL0hdAQA2JYNMlJD52LP1wyaIWRUXWeHzqT/0_1-1.webp",
        "input_image_2": "https://replicate.delivery/pbxt/N7gRAK5kbPwdsbOpqgyAIOFQX45U6suTlbL6ws2N74SnGFpo/test.jpg",
        "output_format": "png",
        "safety_tolerance": 2
    }
)

# 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.

Run flux-kontext-apps/multi-image-kontext-pro 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": {
      "prompt": "Put the woman next to the house",
      "aspect_ratio": "match_input_image",
      "input_image_1": "https://replicate.delivery/pbxt/N7gRAUNcVF6HarL0hdAQA2JYNMlJD52LP1wyaIWRUXWeHzqT/0_1-1.webp",
      "input_image_2": "https://replicate.delivery/pbxt/N7gRAK5kbPwdsbOpqgyAIOFQX45U6suTlbL6ws2N74SnGFpo/test.jpg",
      "output_format": "png",
      "safety_tolerance": 2
    }
  }' \
  https://api.replicate.com/v1/models/flux-kontext-apps/multi-image-kontext-pro/predictions

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

Output

Generated in

8.6 seconds

Tweak it Iterate in playground ShareReport

Prediction

flux-kontext-apps/multi-image-kontext-pro

Official model

flux-kontext-apps/multi-image-kontext-pro

k9fqw6pr7drma0cq6w3830ezfm

Status

Succeeded

Source

Web

Total duration

7.6s

Created

6 months ago

Input

prompt: Put the woman in the city background
aspect_ratio: match_input_image
input_image_1
input_image_2
output_format: png
safety_tolerance: 2

{
  "prompt": "Put the woman in the city background",
  "aspect_ratio": "match_input_image",
  "input_image_1": "https://replicate.delivery/pbxt/N7gnU3Sna5NcIqGAUFTuVeDXaaSDJxzOvuSK5HTWgHM8kigK/1d28803d-9b78-4501-9342-e82aef59ef16.jpg",
  "input_image_2": "https://replicate.delivery/pbxt/N7gnUnS5kqykQaHLQBY81AtAO9Zn9Nb7P8vV55xuRvoHtKFU/f0e10bae-1a46-4b3d-aa91-edc9d80a8318.jpg",
  "output_format": "png",
  "safety_tolerance": 2
}

Install Replicate’s Node.js client library:

npm install replicate

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

const input = {
  prompt: "Put the woman in the city background",
  aspect_ratio: "match_input_image",
  input_image_1: "https://replicate.delivery/pbxt/N7gnU3Sna5NcIqGAUFTuVeDXaaSDJxzOvuSK5HTWgHM8kigK/1d28803d-9b78-4501-9342-e82aef59ef16.jpg",
  input_image_2: "https://replicate.delivery/pbxt/N7gnUnS5kqykQaHLQBY81AtAO9Zn9Nb7P8vV55xuRvoHtKFU/f0e10bae-1a46-4b3d-aa91-edc9d80a8318.jpg",
  output_format: "png",
  safety_tolerance: 2
};

const output = await replicate.run("flux-kontext-apps/multi-image-kontext-pro", { 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

Import the client:

import replicate

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

output = replicate.run(
    "flux-kontext-apps/multi-image-kontext-pro",
    input={
        "prompt": "Put the woman in the city background",
        "aspect_ratio": "match_input_image",
        "input_image_1": "https://replicate.delivery/pbxt/N7gnU3Sna5NcIqGAUFTuVeDXaaSDJxzOvuSK5HTWgHM8kigK/1d28803d-9b78-4501-9342-e82aef59ef16.jpg",
        "input_image_2": "https://replicate.delivery/pbxt/N7gnUnS5kqykQaHLQBY81AtAO9Zn9Nb7P8vV55xuRvoHtKFU/f0e10bae-1a46-4b3d-aa91-edc9d80a8318.jpg",
        "output_format": "png",
        "safety_tolerance": 2
    }
)

# 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.

Run flux-kontext-apps/multi-image-kontext-pro 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": {
      "prompt": "Put the woman in the city background",
      "aspect_ratio": "match_input_image",
      "input_image_1": "https://replicate.delivery/pbxt/N7gnU3Sna5NcIqGAUFTuVeDXaaSDJxzOvuSK5HTWgHM8kigK/1d28803d-9b78-4501-9342-e82aef59ef16.jpg",
      "input_image_2": "https://replicate.delivery/pbxt/N7gnUnS5kqykQaHLQBY81AtAO9Zn9Nb7P8vV55xuRvoHtKFU/f0e10bae-1a46-4b3d-aa91-edc9d80a8318.jpg",
      "output_format": "png",
      "safety_tolerance": 2
    }
  }' \
  https://api.replicate.com/v1/models/flux-kontext-apps/multi-image-kontext-pro/predictions

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

Output

Generated in

7.6 seconds

Tweak it Iterate in playground ShareReport

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Prediction

Input

Output

Prediction

Input

Output

Logs (e5zd31ka3drme0cq6vwts2zwxw)

Logs (k9fqw6pr7drma0cq6w3830ezfm)