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Prediction

mattt/latent-spookiness:1cece14d1b53fc322aff0e425deb955416ab74f2f75690360804a8038975432d

Model

mattt/latent-spookiness:1cece14d

ewhvwgzb64fezf4kmhpg4yygyi

Status

Succeeded

Source

Web

Hardware

CPU

Total duration

-931ms

Created

almost 2 years ago

Input

fear_factor: 42

{
  "fear_factor": 42
}

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

const output = await replicate.run(
  "mattt/latent-spookiness:1cece14d1b53fc322aff0e425deb955416ab74f2f75690360804a8038975432d",
  {
    input: {
      fear_factor: 42
    }
  }
);

console.log(output);

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

output = replicate.run(
    "mattt/latent-spookiness:1cece14d1b53fc322aff0e425deb955416ab74f2f75690360804a8038975432d",
    input={
        "fear_factor": 42
    }
)

print(output)

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

Run mattt/latent-spookiness 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": "mattt/latent-spookiness:1cece14d1b53fc322aff0e425deb955416ab74f2f75690360804a8038975432d",
    "input": {
      "fear_factor": 42
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

boooooooooooooooooooooooooooooooooooooooooo!

Generated in

18 milliseconds

Tweak it Iterate in playground Share Report

Prediction

mattt/latent-spookiness:1cece14d1b53fc322aff0e425deb955416ab74f2f75690360804a8038975432d

Model

mattt/latent-spookiness:1cece14d

oveomejbw2547kcpias3exqjom

Status

Succeeded

Source

Web

Hardware

CPU

Total duration

0.9s

Created

almost 2 years ago

Input

fear_factor: 2

{
  "fear_factor": 2
}

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

const output = await replicate.run(
  "mattt/latent-spookiness:1cece14d1b53fc322aff0e425deb955416ab74f2f75690360804a8038975432d",
  {
    input: {
      fear_factor: 2
    }
  }
);

console.log(output);

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

output = replicate.run(
    "mattt/latent-spookiness:1cece14d1b53fc322aff0e425deb955416ab74f2f75690360804a8038975432d",
    input={
        "fear_factor": 2
    }
)

print(output)

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

Run mattt/latent-spookiness 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": "mattt/latent-spookiness:1cece14d1b53fc322aff0e425deb955416ab74f2f75690360804a8038975432d",
    "input": {
      "fear_factor": 2
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

boo!

Generated in

18 milliseconds

Tweak it Iterate in playground Share Report

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Run this model

Prediction

Input

Output

Prediction

Input

Output

Logs (ewhvwgzb64fezf4kmhpg4yygyi)

Logs (oveomejbw2547kcpias3exqjom)