Prediction

fofr/kontext-and-claude

Model

fofr/kontext-and-claude

ID

eb64ja9a6srm80cqz7ys3vemd4

Status

Succeeded

Source

Web

Hardware

CPU (Small)

Total duration

20.4s

Created

5 months ago

Input

image
instruction: make everything striped black and red
system_prompt: exaggerated
run_vanilla_kontext

{
  "image": "https://replicate.delivery/pbxt/NL7wm1SSd9u3plvSIqR0soxGIB6itsiRO4F6vU8H2N5gqm9u/image.png",
  "instruction": "make everything striped black and red",
  "system_prompt": "exaggerated",
  "run_vanilla_kontext": true
}

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

const input = {
  image: "https://replicate.delivery/pbxt/NL7wm1SSd9u3plvSIqR0soxGIB6itsiRO4F6vU8H2N5gqm9u/image.png",
  instruction: "make everything striped black and red",
  system_prompt: "exaggerated",
  run_vanilla_kontext: true
};

const output = await replicate.run("fofr/kontext-and-claude", { input });

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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

output = replicate.run(
    "fofr/kontext-and-claude",
    input={
        "image": "https://replicate.delivery/pbxt/NL7wm1SSd9u3plvSIqR0soxGIB6itsiRO4F6vU8H2N5gqm9u/image.png",
        "instruction": "make everything striped black and red",
        "system_prompt": "exaggerated",
        "run_vanilla_kontext": True
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

To learn more, take a look at the guide on getting started with Python.

Run fofr/kontext-and-claude 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": {
      "image": "https://replicate.delivery/pbxt/NL7wm1SSd9u3plvSIqR0soxGIB6itsiRO4F6vU8H2N5gqm9u/image.png",
      "instruction": "make everything striped black and red",
      "system_prompt": "exaggerated",
      "run_vanilla_kontext": true
    }
  }' \
  https://api.replicate.com/v1/models/fofr/kontext-and-claude/predictions

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

Output

Generated in

19.8 seconds

Tweak it Share Report

Prediction

fofr/kontext-and-claude

Model

fofr/kontext-and-claude

ID

asafmkr5x5rmc0cqz7zamd528m

Status

Succeeded

Source

Web

Hardware

CPU (Small)

Total duration

20.6s

Created

5 months ago by @fofr

Input

image
instruction: make everything 1980s
system_prompt: exaggerated
run_vanilla_kontext

{
  "image": "https://replicate.delivery/pbxt/NL7xezix4VzYA6UAYbrJkjjcGXXTbJMM2940pyDUT8La8jBW/image.png",
  "instruction": "make everything 1980s",
  "system_prompt": "exaggerated",
  "run_vanilla_kontext": true
}

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

const input = {
  image: "https://replicate.delivery/pbxt/NL7xezix4VzYA6UAYbrJkjjcGXXTbJMM2940pyDUT8La8jBW/image.png",
  instruction: "make everything 1980s",
  system_prompt: "exaggerated",
  run_vanilla_kontext: true
};

const output = await replicate.run("fofr/kontext-and-claude", { input });

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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

output = replicate.run(
    "fofr/kontext-and-claude",
    input={
        "image": "https://replicate.delivery/pbxt/NL7xezix4VzYA6UAYbrJkjjcGXXTbJMM2940pyDUT8La8jBW/image.png",
        "instruction": "make everything 1980s",
        "system_prompt": "exaggerated",
        "run_vanilla_kontext": True
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

To learn more, take a look at the guide on getting started with Python.

Run fofr/kontext-and-claude 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": {
      "image": "https://replicate.delivery/pbxt/NL7xezix4VzYA6UAYbrJkjjcGXXTbJMM2940pyDUT8La8jBW/image.png",
      "instruction": "make everything 1980s",
      "system_prompt": "exaggerated",
      "run_vanilla_kontext": true
    }
  }' \
  https://api.replicate.com/v1/models/fofr/kontext-and-claude/predictions

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

Output

Generated in

19.9 seconds

Tweak it Share Report

Prediction

fofr/kontext-and-claude

Model

fofr/kontext-and-claude

ID

13s991jvcsrmc0cqz80bxhhybr

Status

Succeeded

Source

Web

Hardware

CPU (Small)

Total duration

13.1s

Created

5 months ago

Input

image
instruction: make it MORE
system_prompt: exaggerated
run_vanilla_kontext

{
  "image": "https://replicate.delivery/pbxt/NL804xhxMJdgW3C2ZR14gg8U01MhTMYVtpVCr8PT9NkvMwqZ/image.png",
  "instruction": "make it MORE",
  "system_prompt": "exaggerated",
  "run_vanilla_kontext": false
}

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

const input = {
  image: "https://replicate.delivery/pbxt/NL804xhxMJdgW3C2ZR14gg8U01MhTMYVtpVCr8PT9NkvMwqZ/image.png",
  instruction: "make it MORE",
  system_prompt: "exaggerated",
  run_vanilla_kontext: false
};

const output = await replicate.run("fofr/kontext-and-claude", { input });

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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

output = replicate.run(
    "fofr/kontext-and-claude",
    input={
        "image": "https://replicate.delivery/pbxt/NL804xhxMJdgW3C2ZR14gg8U01MhTMYVtpVCr8PT9NkvMwqZ/image.png",
        "instruction": "make it MORE",
        "system_prompt": "exaggerated",
        "run_vanilla_kontext": False
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

To learn more, take a look at the guide on getting started with Python.

Run fofr/kontext-and-claude 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": {
      "image": "https://replicate.delivery/pbxt/NL804xhxMJdgW3C2ZR14gg8U01MhTMYVtpVCr8PT9NkvMwqZ/image.png",
      "instruction": "make it MORE",
      "system_prompt": "exaggerated",
      "run_vanilla_kontext": false
    }
  }' \
  https://api.replicate.com/v1/models/fofr/kontext-and-claude/predictions

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

Output

Generated in

12.4 seconds

Tweak it Share Report

Prediction

fofr/kontext-and-claude

Model

fofr/kontext-and-claude

ID

jvp2fx1wx5rm80cqz98974rhxm

Status

Succeeded

Source

Web

Hardware

CPU (Small)

Total duration

12.3s

Created

5 months ago

Input

image
instruction: blurry light leaks
system_prompt: exaggerated
run_vanilla_kontext

{
  "image": "https://replicate.delivery/pbxt/NL804xhxMJdgW3C2ZR14gg8U01MhTMYVtpVCr8PT9NkvMwqZ/image.png",
  "instruction": "blurry light leaks",
  "system_prompt": "exaggerated",
  "run_vanilla_kontext": false
}

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

const input = {
  image: "https://replicate.delivery/pbxt/NL804xhxMJdgW3C2ZR14gg8U01MhTMYVtpVCr8PT9NkvMwqZ/image.png",
  instruction: "blurry light leaks",
  system_prompt: "exaggerated",
  run_vanilla_kontext: false
};

const output = await replicate.run("fofr/kontext-and-claude", { input });

// To access the file URL:
console.log(output[0].url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", output[0]);

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

output = replicate.run(
    "fofr/kontext-and-claude",
    input={
        "image": "https://replicate.delivery/pbxt/NL804xhxMJdgW3C2ZR14gg8U01MhTMYVtpVCr8PT9NkvMwqZ/image.png",
        "instruction": "blurry light leaks",
        "system_prompt": "exaggerated",
        "run_vanilla_kontext": False
    }
)

# To access the file URL:
print(output[0].url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output[0].read())

To learn more, take a look at the guide on getting started with Python.

Run fofr/kontext-and-claude 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": {
      "image": "https://replicate.delivery/pbxt/NL804xhxMJdgW3C2ZR14gg8U01MhTMYVtpVCr8PT9NkvMwqZ/image.png",
      "instruction": "blurry light leaks",
      "system_prompt": "exaggerated",
      "run_vanilla_kontext": false
    }
  }' \
  https://api.replicate.com/v1/models/fofr/kontext-and-claude/predictions

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

Output

Generated in

11.8 seconds

Tweak it Share Report

Prediction

Input

Output

Prediction

Input

Output

Prediction

Input

Output

Prediction

Input

Output

Logs (eb64ja9a6srm80cqz7ys3vemd4)

Logs (asafmkr5x5rmc0cqz7zamd528m)

Logs (13s991jvcsrmc0cqz80bxhhybr)

Logs (jvp2fx1wx5rm80cqz98974rhxm)