Prediction

ID

atdjmjtbadczh2vofsr54hja7u

Status

Succeeded

Source

Web

Hardware

A40

Total duration

49.9s

Created

over 1 year ago

Input

seed: 21272
image
prompt: a wolf with pink and blue fur
strength: 0.8
scheduler: K_EULER
guidance_scale: 8
negative_prompt: scary, cartoon, painting
num_inference_steps: 10

{
  "seed": 21272,
  "image": "https://replicate.delivery/pbxt/JoJK5q0L7bCNFCY1cR9KTTEk0z1VerXyxPrDBnrhtZwCNSUh/wolf.png",
  "prompt": "a wolf with pink and blue fur",
  "strength": 0.8,
  "scheduler": "K_EULER",
  "guidance_scale": 8,
  "negative_prompt": "scary, cartoon, painting",
  "num_inference_steps": 10
}

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 lucataco/ssd-1b-img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/ssd-1b-img2img:8d758408398a909fb7696c2a04ea044158de351b6b87cf0934d1f11bc3e4ad39",
  {
    input: {
      seed: 21272,
      image: "https://replicate.delivery/pbxt/JoJK5q0L7bCNFCY1cR9KTTEk0z1VerXyxPrDBnrhtZwCNSUh/wolf.png",
      prompt: "a wolf with pink and blue fur",
      strength: 0.8,
      scheduler: "K_EULER",
      guidance_scale: 8,
      negative_prompt: "scary, cartoon, painting",
      num_inference_steps: 10
    }
  }
);

// 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 lucataco/ssd-1b-img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/ssd-1b-img2img:8d758408398a909fb7696c2a04ea044158de351b6b87cf0934d1f11bc3e4ad39",
    input={
        "seed": 21272,
        "image": "https://replicate.delivery/pbxt/JoJK5q0L7bCNFCY1cR9KTTEk0z1VerXyxPrDBnrhtZwCNSUh/wolf.png",
        "prompt": "a wolf with pink and blue fur",
        "strength": 0.8,
        "scheduler": "K_EULER",
        "guidance_scale": 8,
        "negative_prompt": "scary, cartoon, painting",
        "num_inference_steps": 10
    }
)
print(output)

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

Run lucataco/ssd-1b-img2img 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": "lucataco/ssd-1b-img2img:8d758408398a909fb7696c2a04ea044158de351b6b87cf0934d1f11bc3e4ad39",
    "input": {
      "seed": 21272,
      "image": "https://replicate.delivery/pbxt/JoJK5q0L7bCNFCY1cR9KTTEk0z1VerXyxPrDBnrhtZwCNSUh/wolf.png",
      "prompt": "a wolf with pink and blue fur",
      "strength": 0.8,
      "scheduler": "K_EULER",
      "guidance_scale": 8,
      "negative_prompt": "scary, cartoon, painting",
      "num_inference_steps": 10
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

3.8 seconds

lucataco/ssd-1b-img2img:8d758408398a909fb7696c2a04ea044158de351b6b87cf0934d1f11bc3e4ad39

Prediction

Model

ID

jkcr7i3b5al7jtfzgwwdpfsl4e

Status

Succeeded

Source

Web

Hardware

A40

Total duration

3.7s

Created

over 1 year ago

Input

seed: 46163
image
prompt: magic anime boy with glasses
strength: 0.8
scheduler: K_EULER
guidance_scale: 8
negative_prompt: scary, cartoon, painting
num_inference_steps: 10

{
  "seed": 46163,
  "image": "https://replicate.delivery/pbxt/JoJNV5pJuspCVrr99qivI8nbr2PhNIC8Uo028fmaW5aGLlSR/magic-anime-girl.png",
  "prompt": "magic anime boy with glasses",
  "strength": 0.8,
  "scheduler": "K_EULER",
  "guidance_scale": 8,
  "negative_prompt": "scary, cartoon, painting",
  "num_inference_steps": 10
}

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 lucataco/ssd-1b-img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/ssd-1b-img2img:8d758408398a909fb7696c2a04ea044158de351b6b87cf0934d1f11bc3e4ad39",
  {
    input: {
      seed: 46163,
      image: "https://replicate.delivery/pbxt/JoJNV5pJuspCVrr99qivI8nbr2PhNIC8Uo028fmaW5aGLlSR/magic-anime-girl.png",
      prompt: "magic anime boy with glasses",
      strength: 0.8,
      scheduler: "K_EULER",
      guidance_scale: 8,
      negative_prompt: "scary, cartoon, painting",
      num_inference_steps: 10
    }
  }
);

// 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 lucataco/ssd-1b-img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/ssd-1b-img2img:8d758408398a909fb7696c2a04ea044158de351b6b87cf0934d1f11bc3e4ad39",
    input={
        "seed": 46163,
        "image": "https://replicate.delivery/pbxt/JoJNV5pJuspCVrr99qivI8nbr2PhNIC8Uo028fmaW5aGLlSR/magic-anime-girl.png",
        "prompt": "magic anime boy with glasses",
        "strength": 0.8,
        "scheduler": "K_EULER",
        "guidance_scale": 8,
        "negative_prompt": "scary, cartoon, painting",
        "num_inference_steps": 10
    }
)
print(output)

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

Run lucataco/ssd-1b-img2img 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": "lucataco/ssd-1b-img2img:8d758408398a909fb7696c2a04ea044158de351b6b87cf0934d1f11bc3e4ad39",
    "input": {
      "seed": 46163,
      "image": "https://replicate.delivery/pbxt/JoJNV5pJuspCVrr99qivI8nbr2PhNIC8Uo028fmaW5aGLlSR/magic-anime-girl.png",
      "prompt": "magic anime boy with glasses",
      "strength": 0.8,
      "scheduler": "K_EULER",
      "guidance_scale": 8,
      "negative_prompt": "scary, cartoon, painting",
      "num_inference_steps": 10
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

3.7 seconds

lucataco/ssd-1b-img2img:8d758408398a909fb7696c2a04ea044158de351b6b87cf0934d1f11bc3e4ad39

Prediction

Model

ID

x2g3hctbuh3jhy3pvg64q7dxla

Status

Succeeded

Source

Web

Hardware

A40

Total duration

3.5s

Created

over 1 year ago

Input

seed: 45129
image
prompt: paper bunny rabbit
strength: 0.8
scheduler: K_EULER
guidance_scale: 8
negative_prompt: scary, cartoon, painting
num_inference_steps: 10

{
  "seed": 45129,
  "image": "https://replicate.delivery/pbxt/JoJPDyzOzBNBfLQMHbTq4FSZfdMIUNtB6nW2ttlgEdKNtPqH/paper-fox.png",
  "prompt": "paper bunny rabbit",
  "strength": 0.8,
  "scheduler": "K_EULER",
  "guidance_scale": 8,
  "negative_prompt": "scary, cartoon, painting",
  "num_inference_steps": 10
}

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 lucataco/ssd-1b-img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/ssd-1b-img2img:8d758408398a909fb7696c2a04ea044158de351b6b87cf0934d1f11bc3e4ad39",
  {
    input: {
      seed: 45129,
      image: "https://replicate.delivery/pbxt/JoJPDyzOzBNBfLQMHbTq4FSZfdMIUNtB6nW2ttlgEdKNtPqH/paper-fox.png",
      prompt: "paper bunny rabbit",
      strength: 0.8,
      scheduler: "K_EULER",
      guidance_scale: 8,
      negative_prompt: "scary, cartoon, painting",
      num_inference_steps: 10
    }
  }
);

// 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 lucataco/ssd-1b-img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/ssd-1b-img2img:8d758408398a909fb7696c2a04ea044158de351b6b87cf0934d1f11bc3e4ad39",
    input={
        "seed": 45129,
        "image": "https://replicate.delivery/pbxt/JoJPDyzOzBNBfLQMHbTq4FSZfdMIUNtB6nW2ttlgEdKNtPqH/paper-fox.png",
        "prompt": "paper bunny rabbit",
        "strength": 0.8,
        "scheduler": "K_EULER",
        "guidance_scale": 8,
        "negative_prompt": "scary, cartoon, painting",
        "num_inference_steps": 10
    }
)
print(output)

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

Run lucataco/ssd-1b-img2img 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": "lucataco/ssd-1b-img2img:8d758408398a909fb7696c2a04ea044158de351b6b87cf0934d1f11bc3e4ad39",
    "input": {
      "seed": 45129,
      "image": "https://replicate.delivery/pbxt/JoJPDyzOzBNBfLQMHbTq4FSZfdMIUNtB6nW2ttlgEdKNtPqH/paper-fox.png",
      "prompt": "paper bunny rabbit",
      "strength": 0.8,
      "scheduler": "K_EULER",
      "guidance_scale": 8,
      "negative_prompt": "scary, cartoon, painting",
      "num_inference_steps": 10
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

3.5 seconds

lucataco/ssd-1b-img2img:8d758408398a909fb7696c2a04ea044158de351b6b87cf0934d1f11bc3e4ad39

Prediction

Model

ID

m3gy7k3by3lns7otrtk23hncua

Status

Succeeded

Source

Web

Hardware

A40

Total duration

3.9s

Created

over 1 year ago

Input

seed: 48555
image
prompt: Flamenco dancer in a purple dress
strength: 0.8
scheduler: K_EULER
guidance_scale: 8
negative_prompt: scary, cartoon, painting
num_inference_steps: 14

{
  "seed": 48555,
  "image": "https://replicate.delivery/pbxt/JoJSEcD4XPU4RpYe7aXQlMfebOs9KeSwT37ZhNCZ0sMKmTPE/flamingo.png",
  "prompt": "Flamenco dancer in a purple dress",
  "strength": 0.8,
  "scheduler": "K_EULER",
  "guidance_scale": 8,
  "negative_prompt": "scary, cartoon, painting",
  "num_inference_steps": 14
}

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 lucataco/ssd-1b-img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/ssd-1b-img2img:8d758408398a909fb7696c2a04ea044158de351b6b87cf0934d1f11bc3e4ad39",
  {
    input: {
      seed: 48555,
      image: "https://replicate.delivery/pbxt/JoJSEcD4XPU4RpYe7aXQlMfebOs9KeSwT37ZhNCZ0sMKmTPE/flamingo.png",
      prompt: "Flamenco dancer in a purple dress",
      strength: 0.8,
      scheduler: "K_EULER",
      guidance_scale: 8,
      negative_prompt: "scary, cartoon, painting",
      num_inference_steps: 14
    }
  }
);

// 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 lucataco/ssd-1b-img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/ssd-1b-img2img:8d758408398a909fb7696c2a04ea044158de351b6b87cf0934d1f11bc3e4ad39",
    input={
        "seed": 48555,
        "image": "https://replicate.delivery/pbxt/JoJSEcD4XPU4RpYe7aXQlMfebOs9KeSwT37ZhNCZ0sMKmTPE/flamingo.png",
        "prompt": "Flamenco dancer in a purple dress",
        "strength": 0.8,
        "scheduler": "K_EULER",
        "guidance_scale": 8,
        "negative_prompt": "scary, cartoon, painting",
        "num_inference_steps": 14
    }
)
print(output)

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

Run lucataco/ssd-1b-img2img 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": "lucataco/ssd-1b-img2img:8d758408398a909fb7696c2a04ea044158de351b6b87cf0934d1f11bc3e4ad39",
    "input": {
      "seed": 48555,
      "image": "https://replicate.delivery/pbxt/JoJSEcD4XPU4RpYe7aXQlMfebOs9KeSwT37ZhNCZ0sMKmTPE/flamingo.png",
      "prompt": "Flamenco dancer in a purple dress",
      "strength": 0.8,
      "scheduler": "K_EULER",
      "guidance_scale": 8,
      "negative_prompt": "scary, cartoon, painting",
      "num_inference_steps": 14
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

4.0 seconds

lucataco/ssd-1b-img2img:8d758408398a909fb7696c2a04ea044158de351b6b87cf0934d1f11bc3e4ad39

Prediction

Model

ID

3oeyxd3bu2heinvut3ch2nwd3q

Status

Succeeded

Source

Web

Hardware

A40

Total duration

3.7s

Created

over 1 year ago

Input

seed: 65346
image
prompt: polygon castle in the winter
strength: 0.8
scheduler: K_EULER
guidance_scale: 8
negative_prompt: scary, cartoon, painting
num_inference_steps: 10

{
  "seed": 65346,
  "image": "https://replicate.delivery/pbxt/JoJUk3wF1GemiEZhpbyuLmtDbJaOus8kbrJLVxUxbAfjQDtC/poly-castle.png",
  "prompt": "polygon castle in the winter ",
  "strength": 0.8,
  "scheduler": "K_EULER",
  "guidance_scale": 8,
  "negative_prompt": "scary, cartoon, painting",
  "num_inference_steps": 10
}

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 lucataco/ssd-1b-img2img using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/ssd-1b-img2img:8d758408398a909fb7696c2a04ea044158de351b6b87cf0934d1f11bc3e4ad39",
  {
    input: {
      seed: 65346,
      image: "https://replicate.delivery/pbxt/JoJUk3wF1GemiEZhpbyuLmtDbJaOus8kbrJLVxUxbAfjQDtC/poly-castle.png",
      prompt: "polygon castle in the winter ",
      strength: 0.8,
      scheduler: "K_EULER",
      guidance_scale: 8,
      negative_prompt: "scary, cartoon, painting",
      num_inference_steps: 10
    }
  }
);

// 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.