Prediction

nightmareai/latent-viz:7362a0f27e3d74a77dec680582e28186f460b5a0fcc65a86fb4c2228982f8118

Model

nightmareai/latent-viz:7362a0f2

ID

fq3nqtfmkbhjrd4ggtpjyugkgy

Status

Succeeded

Source

Web

Hardware

–

Total duration

2.4s

Created

over 2 years ago by @palp

Input

image

{
  "image": "https://replicate.delivery/mgxm/a7b0499b-d190-4961-bc95-cac262eb53fa/coolgoose.png"
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run nightmareai/latent-viz using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "nightmareai/latent-viz:7362a0f27e3d74a77dec680582e28186f460b5a0fcc65a86fb4c2228982f8118",
  {
    input: {
      image: "https://replicate.delivery/mgxm/a7b0499b-d190-4961-bc95-cac262eb53fa/coolgoose.png"
    }
  }
);

// 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 nightmareai/latent-viz using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "nightmareai/latent-viz:7362a0f27e3d74a77dec680582e28186f460b5a0fcc65a86fb4c2228982f8118",
    input={
        "image": "https://replicate.delivery/mgxm/a7b0499b-d190-4961-bc95-cac262eb53fa/coolgoose.png"
    }
)
print(output)

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

Run nightmareai/latent-viz 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": "7362a0f27e3d74a77dec680582e28186f460b5a0fcc65a86fb4c2228982f8118",
    "input": {
      "image": "https://replicate.delivery/mgxm/a7b0499b-d190-4961-bc95-cac262eb53fa/coolgoose.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

2.2 seconds

Tweak it ShareReport

Prediction

nightmareai/latent-viz:3468af37f68d10286674c7522b70749177fdf56276774ad6b504378eb645a5de

Model

nightmareai/latent-viz:3468af37

ID

bck5gkglh5h2rmmgxrvxanwhla

Status

Succeeded

Source

Web

Hardware

–

Total duration

3m 57s

Created

over 2 years ago

Input

image

{
  "image": "https://replicate.delivery/mgxm/c20a51f8-a269-41ca-8ef8-65aeac27c819/gradients-wide-1-1.jpg"
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run nightmareai/latent-viz using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "nightmareai/latent-viz:3468af37f68d10286674c7522b70749177fdf56276774ad6b504378eb645a5de",
  {
    input: {
      image: "https://replicate.delivery/mgxm/c20a51f8-a269-41ca-8ef8-65aeac27c819/gradients-wide-1-1.jpg"
    }
  }
);

// 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 nightmareai/latent-viz using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "nightmareai/latent-viz:3468af37f68d10286674c7522b70749177fdf56276774ad6b504378eb645a5de",
    input={
        "image": "https://replicate.delivery/mgxm/c20a51f8-a269-41ca-8ef8-65aeac27c819/gradients-wide-1-1.jpg"
    }
)
print(output)

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

Run nightmareai/latent-viz 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": "3468af37f68d10286674c7522b70749177fdf56276774ad6b504378eb645a5de",
    "input": {
      "image": "https://replicate.delivery/mgxm/c20a51f8-a269-41ca-8ef8-65aeac27c819/gradients-wide-1-1.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

2.7 seconds

Tweak it ShareReport

Prediction

nightmareai/latent-viz:3468af37f68d10286674c7522b70749177fdf56276774ad6b504378eb645a5de

Model

nightmareai/latent-viz:3468af37

ID

g5cy4o3rxbaqtbqryhic5mgsuq

Status

Succeeded

Source

Web

Hardware

–

Total duration

2.4s

Created

over 2 years ago

Input

image

{
  "image": "https://replicate.delivery/mgxm/c7886afb-82b0-4b62-b66c-0cba5eb916d7/gradients7-16co-22-1.jpg"
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run nightmareai/latent-viz using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "nightmareai/latent-viz:3468af37f68d10286674c7522b70749177fdf56276774ad6b504378eb645a5de",
  {
    input: {
      image: "https://replicate.delivery/mgxm/c7886afb-82b0-4b62-b66c-0cba5eb916d7/gradients7-16co-22-1.jpg"
    }
  }
);

// 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 nightmareai/latent-viz using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "nightmareai/latent-viz:3468af37f68d10286674c7522b70749177fdf56276774ad6b504378eb645a5de",
    input={
        "image": "https://replicate.delivery/mgxm/c7886afb-82b0-4b62-b66c-0cba5eb916d7/gradients7-16co-22-1.jpg"
    }
)
print(output)

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

Run nightmareai/latent-viz 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": "3468af37f68d10286674c7522b70749177fdf56276774ad6b504378eb645a5de",
    "input": {
      "image": "https://replicate.delivery/mgxm/c7886afb-82b0-4b62-b66c-0cba5eb916d7/gradients7-16co-22-1.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

2.2 seconds

Tweak it ShareReport

Prediction

nightmareai/latent-viz:3468af37f68d10286674c7522b70749177fdf56276774ad6b504378eb645a5de

Model

nightmareai/latent-viz:3468af37

ID

77ok4ctfejdydk37fywqdin5wi

Status

Succeeded

Source

Web

Hardware

–

Total duration

67.0s

Created

over 2 years ago by @nucleargeeketh

Input

image

{
  "image": "https://replicate.delivery/mgxm/84afcd23-4d88-4e5a-b6a0-e69a6448f577/sapen2.png"
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run nightmareai/latent-viz using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "nightmareai/latent-viz:3468af37f68d10286674c7522b70749177fdf56276774ad6b504378eb645a5de",
  {
    input: {
      image: "https://replicate.delivery/mgxm/84afcd23-4d88-4e5a-b6a0-e69a6448f577/sapen2.png"
    }
  }
);

// 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 nightmareai/latent-viz using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "nightmareai/latent-viz:3468af37f68d10286674c7522b70749177fdf56276774ad6b504378eb645a5de",
    input={
        "image": "https://replicate.delivery/mgxm/84afcd23-4d88-4e5a-b6a0-e69a6448f577/sapen2.png"
    }
)
print(output)

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

Run nightmareai/latent-viz 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": "3468af37f68d10286674c7522b70749177fdf56276774ad6b504378eb645a5de",
    "input": {
      "image": "https://replicate.delivery/mgxm/84afcd23-4d88-4e5a-b6a0-e69a6448f577/sapen2.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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