Prediction

ID

plrmmyhc3ncvld3j7sdnodskrm

Status

Succeeded

Source

Web

Hardware

–

Total duration

3m 27s

Created

about 3 years ago by @vccheng2001

Input

mask
seed: -1
image
model: places
noise_mode: const
truncation_psi: 0.9

{
  "mask": "https://replicate.delivery/mgxm/afd9384f-ac1e-4e4a-bf04-ed558383dda7/mask2.png",
  "seed": -1,
  "image": "https://replicate.delivery/mgxm/77aa654a-36e1-477a-8e05-2ea1724a6791/test2.jpg",
  "model": "places",
  "noise_mode": "const",
  "truncation_psi": 0.9
}

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 fenglinglwb/large-hole-image-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fenglinglwb/large-hole-image-inpainting:58ff5d9beb279c180abf221f33d37214bfd2b1e0fc9528c655fbf0ae0a5efbb9",
  {
    input: {
      mask: "https://replicate.delivery/mgxm/afd9384f-ac1e-4e4a-bf04-ed558383dda7/mask2.png",
      seed: -1,
      image: "https://replicate.delivery/mgxm/77aa654a-36e1-477a-8e05-2ea1724a6791/test2.jpg",
      model: "places",
      noise_mode: "const",
      truncation_psi: 0.9
    }
  }
);

// 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 fenglinglwb/large-hole-image-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fenglinglwb/large-hole-image-inpainting:58ff5d9beb279c180abf221f33d37214bfd2b1e0fc9528c655fbf0ae0a5efbb9",
    input={
        "mask": "https://replicate.delivery/mgxm/afd9384f-ac1e-4e4a-bf04-ed558383dda7/mask2.png",
        "seed": -1,
        "image": "https://replicate.delivery/mgxm/77aa654a-36e1-477a-8e05-2ea1724a6791/test2.jpg",
        "model": "places",
        "noise_mode": "const",
        "truncation_psi": 0.9
    }
)

# 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 fenglinglwb/large-hole-image-inpainting 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": "fenglinglwb/large-hole-image-inpainting:58ff5d9beb279c180abf221f33d37214bfd2b1e0fc9528c655fbf0ae0a5efbb9",
    "input": {
      "mask": "https://replicate.delivery/mgxm/afd9384f-ac1e-4e4a-bf04-ed558383dda7/mask2.png",
      "seed": -1,
      "image": "https://replicate.delivery/mgxm/77aa654a-36e1-477a-8e05-2ea1724a6791/test2.jpg",
      "model": "places",
      "noise_mode": "const",
      "truncation_psi": 0.9
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

46.4 seconds

fenglinglwb/large-hole-image-inpainting:58ff5d9beb279c180abf221f33d37214bfd2b1e0fc9528c655fbf0ae0a5efbb9

Prediction

Model

ID

lpssloquufcrtebnuhpafzfgru

Status

Succeeded

Source

Web

Hardware

–

Total duration

2m 59s

Created

about 3 years ago

Input

mask
seed: -1
image
model: places
noise_mode: random
truncation_psi: 1

{
  "mask": "https://replicate.delivery/mgxm/3a207278-045a-4002-8250-c6cb23d09878/mask1.png",
  "seed": -1,
  "image": "https://replicate.delivery/mgxm/e9e8264f-c2f1-4ac4-ad2b-197c15ee9066/test1.jpg",
  "model": "places",
  "noise_mode": "random",
  "truncation_psi": 1
}

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 fenglinglwb/large-hole-image-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fenglinglwb/large-hole-image-inpainting:58ff5d9beb279c180abf221f33d37214bfd2b1e0fc9528c655fbf0ae0a5efbb9",
  {
    input: {
      mask: "https://replicate.delivery/mgxm/3a207278-045a-4002-8250-c6cb23d09878/mask1.png",
      seed: -1,
      image: "https://replicate.delivery/mgxm/e9e8264f-c2f1-4ac4-ad2b-197c15ee9066/test1.jpg",
      model: "places",
      noise_mode: "random",
      truncation_psi: 1
    }
  }
);

// 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 fenglinglwb/large-hole-image-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fenglinglwb/large-hole-image-inpainting:58ff5d9beb279c180abf221f33d37214bfd2b1e0fc9528c655fbf0ae0a5efbb9",
    input={
        "mask": "https://replicate.delivery/mgxm/3a207278-045a-4002-8250-c6cb23d09878/mask1.png",
        "seed": -1,
        "image": "https://replicate.delivery/mgxm/e9e8264f-c2f1-4ac4-ad2b-197c15ee9066/test1.jpg",
        "model": "places",
        "noise_mode": "random",
        "truncation_psi": 1
    }
)

# 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 fenglinglwb/large-hole-image-inpainting 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": "fenglinglwb/large-hole-image-inpainting:58ff5d9beb279c180abf221f33d37214bfd2b1e0fc9528c655fbf0ae0a5efbb9",
    "input": {
      "mask": "https://replicate.delivery/mgxm/3a207278-045a-4002-8250-c6cb23d09878/mask1.png",
      "seed": -1,
      "image": "https://replicate.delivery/mgxm/e9e8264f-c2f1-4ac4-ad2b-197c15ee9066/test1.jpg",
      "model": "places",
      "noise_mode": "random",
      "truncation_psi": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.3 seconds

fenglinglwb/large-hole-image-inpainting:58ff5d9beb279c180abf221f33d37214bfd2b1e0fc9528c655fbf0ae0a5efbb9

Prediction

Model

ID

7jp5yi426vb3do55uysv5p5idi

Status

Succeeded

Source

Web

Hardware

–

Total duration

1.8s

Created

about 3 years ago

Input

mask
seed: "545329024"
image
model: celeba
noise_mode: const
truncation_psi: 0.97

{
  "mask": "https://replicate.delivery/mgxm/c9f7b189-a232-4feb-8c83-ba5f1322b499/mask2.png",
  "seed": "545329024",
  "image": "https://replicate.delivery/mgxm/f50d767f-c2e5-4d02-a045-bcdabca6946f/test2.png",
  "model": "celeba",
  "noise_mode": "const",
  "truncation_psi": 0.97
}

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 fenglinglwb/large-hole-image-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fenglinglwb/large-hole-image-inpainting:58ff5d9beb279c180abf221f33d37214bfd2b1e0fc9528c655fbf0ae0a5efbb9",
  {
    input: {
      mask: "https://replicate.delivery/mgxm/c9f7b189-a232-4feb-8c83-ba5f1322b499/mask2.png",
      seed: "545329024",
      image: "https://replicate.delivery/mgxm/f50d767f-c2e5-4d02-a045-bcdabca6946f/test2.png",
      model: "celeba",
      noise_mode: "const",
      truncation_psi: 0.97
    }
  }
);

// 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 fenglinglwb/large-hole-image-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fenglinglwb/large-hole-image-inpainting:58ff5d9beb279c180abf221f33d37214bfd2b1e0fc9528c655fbf0ae0a5efbb9",
    input={
        "mask": "https://replicate.delivery/mgxm/c9f7b189-a232-4feb-8c83-ba5f1322b499/mask2.png",
        "seed": "545329024",
        "image": "https://replicate.delivery/mgxm/f50d767f-c2e5-4d02-a045-bcdabca6946f/test2.png",
        "model": "celeba",
        "noise_mode": "const",
        "truncation_psi": 0.97
    }
)

# 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 fenglinglwb/large-hole-image-inpainting 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": "fenglinglwb/large-hole-image-inpainting:58ff5d9beb279c180abf221f33d37214bfd2b1e0fc9528c655fbf0ae0a5efbb9",
    "input": {
      "mask": "https://replicate.delivery/mgxm/c9f7b189-a232-4feb-8c83-ba5f1322b499/mask2.png",
      "seed": "545329024",
      "image": "https://replicate.delivery/mgxm/f50d767f-c2e5-4d02-a045-bcdabca6946f/test2.png",
      "model": "celeba",
      "noise_mode": "const",
      "truncation_psi": 0.97
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.7 seconds

fenglinglwb/large-hole-image-inpainting:58ff5d9beb279c180abf221f33d37214bfd2b1e0fc9528c655fbf0ae0a5efbb9

Prediction

Model

ID

7urz5hwkw5c2hhxusvpz2ua3vq

Status

Succeeded

Source

Web

Hardware

–

Total duration

1.8s

Created

about 3 years ago

Input

mask
seed: "223401596"
image
model: places
noise_mode: const
truncation_psi: 0.99

{
  "mask": "https://replicate.delivery/mgxm/292a2043-4e6f-440f-8469-55894a792d48/mask2.png",
  "seed": "223401596",
  "image": "https://replicate.delivery/mgxm/19354859-5cb8-4758-8209-137e577bf432/building.jpeg",
  "model": "places",
  "noise_mode": "const",
  "truncation_psi": 0.99
}

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 fenglinglwb/large-hole-image-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fenglinglwb/large-hole-image-inpainting:58ff5d9beb279c180abf221f33d37214bfd2b1e0fc9528c655fbf0ae0a5efbb9",
  {
    input: {
      mask: "https://replicate.delivery/mgxm/292a2043-4e6f-440f-8469-55894a792d48/mask2.png",
      seed: "223401596",
      image: "https://replicate.delivery/mgxm/19354859-5cb8-4758-8209-137e577bf432/building.jpeg",
      model: "places",
      noise_mode: "const",
      truncation_psi: 0.99
    }
  }
);

// 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 fenglinglwb/large-hole-image-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fenglinglwb/large-hole-image-inpainting:58ff5d9beb279c180abf221f33d37214bfd2b1e0fc9528c655fbf0ae0a5efbb9",
    input={
        "mask": "https://replicate.delivery/mgxm/292a2043-4e6f-440f-8469-55894a792d48/mask2.png",
        "seed": "223401596",
        "image": "https://replicate.delivery/mgxm/19354859-5cb8-4758-8209-137e577bf432/building.jpeg",
        "model": "places",
        "noise_mode": "const",
        "truncation_psi": 0.99
    }
)

# 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 fenglinglwb/large-hole-image-inpainting 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": "fenglinglwb/large-hole-image-inpainting:58ff5d9beb279c180abf221f33d37214bfd2b1e0fc9528c655fbf0ae0a5efbb9",
    "input": {
      "mask": "https://replicate.delivery/mgxm/292a2043-4e6f-440f-8469-55894a792d48/mask2.png",
      "seed": "223401596",
      "image": "https://replicate.delivery/mgxm/19354859-5cb8-4758-8209-137e577bf432/building.jpeg",
      "model": "places",
      "noise_mode": "const",
      "truncation_psi": 0.99
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.7 seconds

fenglinglwb/large-hole-image-inpainting:e00f409dc6d1417f0e7301015f9a18a338cb4e5eb872dc77271a64cf1b4dc44e

Prediction

Model

fenglinglwb/large-hole-image-inpainting:e00f409d

ID

lqlyobxz4bdtte3xea2xaw3she

Status

Succeeded

Source

Web

Hardware

–

Total duration

1.8s

Created

about 3 years ago

Input

seed: "-1"
image
model: places
noise_mode: random
truncation_psi: 1

{
  "seed": "-1",
  "image": "https://replicate.delivery/mgxm/761409eb-fb75-46e9-ac68-2c5a9568cdaf/building.jpeg",
  "model": "places",
  "noise_mode": "random",
  "truncation_psi": 1
}

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 fenglinglwb/large-hole-image-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fenglinglwb/large-hole-image-inpainting:e00f409dc6d1417f0e7301015f9a18a338cb4e5eb872dc77271a64cf1b4dc44e",
  {
    input: {
      seed: "-1",
      image: "https://replicate.delivery/mgxm/761409eb-fb75-46e9-ac68-2c5a9568cdaf/building.jpeg",
      model: "places",
      noise_mode: "random",
      truncation_psi: 1
    }
  }
);

// 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 fenglinglwb/large-hole-image-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fenglinglwb/large-hole-image-inpainting:e00f409dc6d1417f0e7301015f9a18a338cb4e5eb872dc77271a64cf1b4dc44e",
    input={
        "seed": "-1",
        "image": "https://replicate.delivery/mgxm/761409eb-fb75-46e9-ac68-2c5a9568cdaf/building.jpeg",
        "model": "places",
        "noise_mode": "random",
        "truncation_psi": 1
    }
)

# 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 fenglinglwb/large-hole-image-inpainting 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": "fenglinglwb/large-hole-image-inpainting:e00f409dc6d1417f0e7301015f9a18a338cb4e5eb872dc77271a64cf1b4dc44e",
    "input": {
      "seed": "-1",
      "image": "https://replicate.delivery/mgxm/761409eb-fb75-46e9-ac68-2c5a9568cdaf/building.jpeg",
      "model": "places",
      "noise_mode": "random",
      "truncation_psi": 1
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.7 seconds

fenglinglwb/large-hole-image-inpainting:4b52aba43c7acdf89dd71429921a60f3696c2bb9c9242f10f1a6c212c0e596eb

Prediction

Model

fenglinglwb/large-hole-image-inpainting:4b52aba4

ID

t4kjzfprk5ajzg5usemgjdnfxa

Status

Succeeded

Source

Web

Hardware

–

Total duration

1.9s

Created

about 3 years ago

Input

mask
seed: -1
image
model: celeba
noise_mode: const
truncation_psi: 0.95

{
  "mask": "https://replicate.delivery/mgxm/0b85ff4d-5718-4a53-8d33-7051007889e3/mask2.png",
  "seed": -1,
  "image": "https://replicate.delivery/mgxm/fc611025-f218-4049-a40b-6807bb13b728/test1.png",
  "model": "celeba",
  "noise_mode": "const",
  "truncation_psi": 0.95
}

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 fenglinglwb/large-hole-image-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fenglinglwb/large-hole-image-inpainting:4b52aba43c7acdf89dd71429921a60f3696c2bb9c9242f10f1a6c212c0e596eb",
  {
    input: {
      mask: "https://replicate.delivery/mgxm/0b85ff4d-5718-4a53-8d33-7051007889e3/mask2.png",
      seed: -1,
      image: "https://replicate.delivery/mgxm/fc611025-f218-4049-a40b-6807bb13b728/test1.png",
      model: "celeba",
      noise_mode: "const",
      truncation_psi: 0.95
    }
  }
);

// 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 fenglinglwb/large-hole-image-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fenglinglwb/large-hole-image-inpainting:4b52aba43c7acdf89dd71429921a60f3696c2bb9c9242f10f1a6c212c0e596eb",
    input={
        "mask": "https://replicate.delivery/mgxm/0b85ff4d-5718-4a53-8d33-7051007889e3/mask2.png",
        "seed": -1,
        "image": "https://replicate.delivery/mgxm/fc611025-f218-4049-a40b-6807bb13b728/test1.png",
        "model": "celeba",
        "noise_mode": "const",
        "truncation_psi": 0.95
    }
)

# 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 fenglinglwb/large-hole-image-inpainting 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": "fenglinglwb/large-hole-image-inpainting:4b52aba43c7acdf89dd71429921a60f3696c2bb9c9242f10f1a6c212c0e596eb",
    "input": {
      "mask": "https://replicate.delivery/mgxm/0b85ff4d-5718-4a53-8d33-7051007889e3/mask2.png",
      "seed": -1,
      "image": "https://replicate.delivery/mgxm/fc611025-f218-4049-a40b-6807bb13b728/test1.png",
      "model": "celeba",
      "noise_mode": "const",
      "truncation_psi": 0.95
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.7 seconds

fenglinglwb/large-hole-image-inpainting:4b52aba43c7acdf89dd71429921a60f3696c2bb9c9242f10f1a6c212c0e596eb

Prediction

Model

fenglinglwb/large-hole-image-inpainting:4b52aba4

ID

jw3ulo3fyjctnbkedrl7wth4aq

Status

Succeeded

Source

Web

Hardware

–

Total duration

1.8s

Created

about 3 years ago

Input

mask
seed: "744671987"
image
model: celeba
noise_mode: const
truncation_psi: 0.7

{
  "mask": "https://replicate.delivery/mgxm/b37ad7ee-9901-423e-8b3b-7b10779d9382/mask1.png",
  "seed": "744671987",
  "image": "https://replicate.delivery/mgxm/ed08488c-e105-4251-b443-ae9b42df0b8c/test1.png",
  "model": "celeba",
  "noise_mode": "const",
  "truncation_psi": 0.7
}

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 fenglinglwb/large-hole-image-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fenglinglwb/large-hole-image-inpainting:4b52aba43c7acdf89dd71429921a60f3696c2bb9c9242f10f1a6c212c0e596eb",
  {
    input: {
      mask: "https://replicate.delivery/mgxm/b37ad7ee-9901-423e-8b3b-7b10779d9382/mask1.png",
      seed: "744671987",
      image: "https://replicate.delivery/mgxm/ed08488c-e105-4251-b443-ae9b42df0b8c/test1.png",
      model: "celeba",
      noise_mode: "const",
      truncation_psi: 0.7
    }
  }
);

// 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 fenglinglwb/large-hole-image-inpainting using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fenglinglwb/large-hole-image-inpainting:4b52aba43c7acdf89dd71429921a60f3696c2bb9c9242f10f1a6c212c0e596eb",
    input={
        "mask": "https://replicate.delivery/mgxm/b37ad7ee-9901-423e-8b3b-7b10779d9382/mask1.png",
        "seed": "744671987",
        "image": "https://replicate.delivery/mgxm/ed08488c-e105-4251-b443-ae9b42df0b8c/test1.png",
        "model": "celeba",
        "noise_mode": "const",
        "truncation_psi": 0.7
    }
)

# 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 fenglinglwb/large-hole-image-inpainting 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": "fenglinglwb/large-hole-image-inpainting:4b52aba43c7acdf89dd71429921a60f3696c2bb9c9242f10f1a6c212c0e596eb",
    "input": {
      "mask": "https://replicate.delivery/mgxm/b37ad7ee-9901-423e-8b3b-7b10779d9382/mask1.png",
      "seed": "744671987",
      "image": "https://replicate.delivery/mgxm/ed08488c-e105-4251-b443-ae9b42df0b8c/test1.png",
      "model": "celeba",
      "noise_mode": "const",
      "truncation_psi": 0.7
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

1.7 seconds