Prediction

ID

hc747q8xzsrj20cn7st95mtapm

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

53.0s

Created

7 months ago

Input

image
prompt: empty terrace
resolution: 768
num_inference_steps: 8
resolution_conditioning: 768

{
  "image": "https://replicate.delivery/pbxt/MYuYemdGwpriZ2t43KCur7BCSylsoWvB4DDi8eTPH6baFvBE/158_1440%20%281%29.jpg",
  "prompt": "empty terrace",
  "resolution": 768,
  "num_inference_steps": 8,
  "resolution_conditioning": 768
}

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

const output = await replicate.run(
  "jschoormans/unstaging:133ffb194ec23f2839f17b049996e4e35b5433d126eaee99fd86fad61e68cb6b",
  {
    input: {
      image: "https://replicate.delivery/pbxt/MYuYemdGwpriZ2t43KCur7BCSylsoWvB4DDi8eTPH6baFvBE/158_1440%20%281%29.jpg",
      prompt: "empty terrace",
      resolution: 768,
      num_inference_steps: 8,
      resolution_conditioning: 768
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

Run jschoormans/unstaging using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jschoormans/unstaging:133ffb194ec23f2839f17b049996e4e35b5433d126eaee99fd86fad61e68cb6b",
    input={
        "image": "https://replicate.delivery/pbxt/MYuYemdGwpriZ2t43KCur7BCSylsoWvB4DDi8eTPH6baFvBE/158_1440%20%281%29.jpg",
        "prompt": "empty terrace",
        "resolution": 768,
        "num_inference_steps": 8,
        "resolution_conditioning": 768
    }
)

# 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 jschoormans/unstaging 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 $'{
    "version": "jschoormans/unstaging:133ffb194ec23f2839f17b049996e4e35b5433d126eaee99fd86fad61e68cb6b",
    "input": {
      "image": "https://replicate.delivery/pbxt/MYuYemdGwpriZ2t43KCur7BCSylsoWvB4DDi8eTPH6baFvBE/158_1440%20%281%29.jpg",
      "prompt": "empty terrace",
      "resolution": 768,
      "num_inference_steps": 8,
      "resolution_conditioning": 768
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

15.6 seconds

jschoormans/unstaging:133ffb194ec23f2839f17b049996e4e35b5433d126eaee99fd86fad61e68cb6b

Prediction

Model

ID

vqh13jafk5rj60cn7sw84m33kc

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

9.3s

Created

7 months ago

Input

image
prompt: empty room
resolution: 768
num_inference_steps: 8
resolution_conditioning: 768

{
  "image": "https://replicate.delivery/pbxt/MYud0KPEfz4GIHl96AMyHQXAsi57BAYBJD2tgO98gKGfhTCE/dunphy-family-room.jpg",
  "prompt": "empty room",
  "resolution": 768,
  "num_inference_steps": 8,
  "resolution_conditioning": 768
}

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

const output = await replicate.run(
  "jschoormans/unstaging:133ffb194ec23f2839f17b049996e4e35b5433d126eaee99fd86fad61e68cb6b",
  {
    input: {
      image: "https://replicate.delivery/pbxt/MYud0KPEfz4GIHl96AMyHQXAsi57BAYBJD2tgO98gKGfhTCE/dunphy-family-room.jpg",
      prompt: "empty room",
      resolution: 768,
      num_inference_steps: 8,
      resolution_conditioning: 768
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

Run jschoormans/unstaging using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jschoormans/unstaging:133ffb194ec23f2839f17b049996e4e35b5433d126eaee99fd86fad61e68cb6b",
    input={
        "image": "https://replicate.delivery/pbxt/MYud0KPEfz4GIHl96AMyHQXAsi57BAYBJD2tgO98gKGfhTCE/dunphy-family-room.jpg",
        "prompt": "empty room",
        "resolution": 768,
        "num_inference_steps": 8,
        "resolution_conditioning": 768
    }
)

# 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 jschoormans/unstaging 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 $'{
    "version": "jschoormans/unstaging:133ffb194ec23f2839f17b049996e4e35b5433d126eaee99fd86fad61e68cb6b",
    "input": {
      "image": "https://replicate.delivery/pbxt/MYud0KPEfz4GIHl96AMyHQXAsi57BAYBJD2tgO98gKGfhTCE/dunphy-family-room.jpg",
      "prompt": "empty room",
      "resolution": 768,
      "num_inference_steps": 8,
      "resolution_conditioning": 768
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

9.3 seconds

jschoormans/unstaging:133ffb194ec23f2839f17b049996e4e35b5433d126eaee99fd86fad61e68cb6b

Prediction

Model

ID

1tqypavemxrj60cn7syv4n75h0

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

17.4s

Created

7 months ago

Input

image
prompt: empty room, nothing
resolution: 1024
num_inference_steps: 8
resolution_conditioning: 1024

{
  "image": "https://replicate.delivery/pbxt/MYuiIS1geUNr8VVdDvRcnn0igNwrlADa2qKRMMUKOxgkj1QM/ap_21021110795446_custom-fd9247fb6ba93d0716007fe065d4959310b3e6a8.webp",
  "prompt": "empty room, nothing",
  "resolution": 1024,
  "num_inference_steps": 8,
  "resolution_conditioning": 1024
}

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

const output = await replicate.run(
  "jschoormans/unstaging:133ffb194ec23f2839f17b049996e4e35b5433d126eaee99fd86fad61e68cb6b",
  {
    input: {
      image: "https://replicate.delivery/pbxt/MYuiIS1geUNr8VVdDvRcnn0igNwrlADa2qKRMMUKOxgkj1QM/ap_21021110795446_custom-fd9247fb6ba93d0716007fe065d4959310b3e6a8.webp",
      prompt: "empty room, nothing",
      resolution: 1024,
      num_inference_steps: 8,
      resolution_conditioning: 1024
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

Run jschoormans/unstaging using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jschoormans/unstaging:133ffb194ec23f2839f17b049996e4e35b5433d126eaee99fd86fad61e68cb6b",
    input={
        "image": "https://replicate.delivery/pbxt/MYuiIS1geUNr8VVdDvRcnn0igNwrlADa2qKRMMUKOxgkj1QM/ap_21021110795446_custom-fd9247fb6ba93d0716007fe065d4959310b3e6a8.webp",
        "prompt": "empty room, nothing",
        "resolution": 1024,
        "num_inference_steps": 8,
        "resolution_conditioning": 1024
    }
)

# 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 jschoormans/unstaging 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 $'{
    "version": "jschoormans/unstaging:133ffb194ec23f2839f17b049996e4e35b5433d126eaee99fd86fad61e68cb6b",
    "input": {
      "image": "https://replicate.delivery/pbxt/MYuiIS1geUNr8VVdDvRcnn0igNwrlADa2qKRMMUKOxgkj1QM/ap_21021110795446_custom-fd9247fb6ba93d0716007fe065d4959310b3e6a8.webp",
      "prompt": "empty room, nothing",
      "resolution": 1024,
      "num_inference_steps": 8,
      "resolution_conditioning": 1024
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

17.4 seconds

jschoormans/unstaging:133ffb194ec23f2839f17b049996e4e35b5433d126eaee99fd86fad61e68cb6b

Prediction

Model

ID

j7rd865t95rj60cn7t0rjvz77c

Status

Succeeded

Source

Web

Hardware

A100 (80GB)

Total duration

57.1s

Created

7 months ago

Input

image
prompt: empty room, nothing
resolution: 1024
num_inference_steps: 8
resolution_conditioning: 1024

{
  "image": "https://replicate.delivery/pbxt/MYumkIfINRgl4UNSsm2F2kPNRexfLlxMppClgmhJ65XKPqba/biden-oval-office-gty-lv-250119_1737321650326_hpMain.jpeg",
  "prompt": "empty room, nothing",
  "resolution": 1024,
  "num_inference_steps": 8,
  "resolution_conditioning": 1024
}

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

const output = await replicate.run(
  "jschoormans/unstaging:133ffb194ec23f2839f17b049996e4e35b5433d126eaee99fd86fad61e68cb6b",
  {
    input: {
      image: "https://replicate.delivery/pbxt/MYumkIfINRgl4UNSsm2F2kPNRexfLlxMppClgmhJ65XKPqba/biden-oval-office-gty-lv-250119_1737321650326_hpMain.jpeg",
      prompt: "empty room, nothing",
      resolution: 1024,
      num_inference_steps: 8,
      resolution_conditioning: 1024
    }
  }
);

// 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.

pip install replicate

Import the client:

import replicate

Run jschoormans/unstaging using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "jschoormans/unstaging:133ffb194ec23f2839f17b049996e4e35b5433d126eaee99fd86fad61e68cb6b",
    input={
        "image": "https://replicate.delivery/pbxt/MYumkIfINRgl4UNSsm2F2kPNRexfLlxMppClgmhJ65XKPqba/biden-oval-office-gty-lv-250119_1737321650326_hpMain.jpeg",
        "prompt": "empty room, nothing",
        "resolution": 1024,
        "num_inference_steps": 8,
        "resolution_conditioning": 1024
    }
)

# 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 jschoormans/unstaging 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 $'{
    "version": "jschoormans/unstaging:133ffb194ec23f2839f17b049996e4e35b5433d126eaee99fd86fad61e68cb6b",
    "input": {
      "image": "https://replicate.delivery/pbxt/MYumkIfINRgl4UNSsm2F2kPNRexfLlxMppClgmhJ65XKPqba/biden-oval-office-gty-lv-250119_1737321650326_hpMain.jpeg",
      "prompt": "empty room, nothing",
      "resolution": 1024,
      "num_inference_steps": 8,
      "resolution_conditioning": 1024
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

22.8 seconds