Prediction

ID

iacy7dt5yrhuvaznqlpqimti5m

Status

Succeeded

Source

Web

Hardware

–

Total duration

25.0s

Created

about 2 years ago

Input

image

{
  "image": "https://replicate.delivery/pbxt/ImcpFUY2ygBs2PAxi3bCrs8Fv5kZN6zZYze0Jko3ywXMl9ap/x_overview_smaller_smaller.png"
}

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 zacharylazzara/tent-detector using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "zacharylazzara/tent-detector:16484a7e7762f550a2a5c87a54cbd7978cd656b98f1eb8826bfa6e27a774db9a",
  {
    input: {
      image: "https://replicate.delivery/pbxt/ImcpFUY2ygBs2PAxi3bCrs8Fv5kZN6zZYze0Jko3ywXMl9ap/x_overview_smaller_smaller.png"
    }
  }
);

// 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 zacharylazzara/tent-detector using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "zacharylazzara/tent-detector:16484a7e7762f550a2a5c87a54cbd7978cd656b98f1eb8826bfa6e27a774db9a",
    input={
        "image": "https://replicate.delivery/pbxt/ImcpFUY2ygBs2PAxi3bCrs8Fv5kZN6zZYze0Jko3ywXMl9ap/x_overview_smaller_smaller.png"
    }
)
print(output)

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

Run zacharylazzara/tent-detector 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": "zacharylazzara/tent-detector:16484a7e7762f550a2a5c87a54cbd7978cd656b98f1eb8826bfa6e27a774db9a",
    "input": {
      "image": "https://replicate.delivery/pbxt/ImcpFUY2ygBs2PAxi3bCrs8Fv5kZN6zZYze0Jko3ywXMl9ap/x_overview_smaller_smaller.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

25.0 seconds

zacharylazzara/tent-detector:16484a7e7762f550a2a5c87a54cbd7978cd656b98f1eb8826bfa6e27a774db9a

Prediction

Model

ID

qbrvz7be7re5zpoobc3cy7wm54

Status

Succeeded

Source

Web

Hardware

–

Total duration

20.2s

Created

about 2 years ago

Input

image

{
  "image": "https://replicate.delivery/pbxt/Imce9FWNcY9Onflaj2MKNV1AlWhTyfIXSPHDBKdXahKByyxg/sarpol_035.jpg"
}

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 zacharylazzara/tent-detector using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "zacharylazzara/tent-detector:16484a7e7762f550a2a5c87a54cbd7978cd656b98f1eb8826bfa6e27a774db9a",
  {
    input: {
      image: "https://replicate.delivery/pbxt/Imce9FWNcY9Onflaj2MKNV1AlWhTyfIXSPHDBKdXahKByyxg/sarpol_035.jpg"
    }
  }
);

// 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 zacharylazzara/tent-detector using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "zacharylazzara/tent-detector:16484a7e7762f550a2a5c87a54cbd7978cd656b98f1eb8826bfa6e27a774db9a",
    input={
        "image": "https://replicate.delivery/pbxt/Imce9FWNcY9Onflaj2MKNV1AlWhTyfIXSPHDBKdXahKByyxg/sarpol_035.jpg"
    }
)
print(output)

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

Run zacharylazzara/tent-detector 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": "zacharylazzara/tent-detector:16484a7e7762f550a2a5c87a54cbd7978cd656b98f1eb8826bfa6e27a774db9a",
    "input": {
      "image": "https://replicate.delivery/pbxt/Imce9FWNcY9Onflaj2MKNV1AlWhTyfIXSPHDBKdXahKByyxg/sarpol_035.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

20.2 seconds

zacharylazzara/tent-detector:16484a7e7762f550a2a5c87a54cbd7978cd656b98f1eb8826bfa6e27a774db9a

Prediction

Model

ID

5wub73pp2jeshpczjdzwadgzd4

Status

Succeeded

Source

Web

Hardware

–

Total duration

25.0s

Created

about 2 years ago

Input

image

{
  "image": "https://replicate.delivery/pbxt/Ip4GWuckD0EQYJUexIXYiaID0XHKdZQmCsk5s1SRdD2DhOK1/x_overview_subset2.png"
}

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 zacharylazzara/tent-detector using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "zacharylazzara/tent-detector:16484a7e7762f550a2a5c87a54cbd7978cd656b98f1eb8826bfa6e27a774db9a",
  {
    input: {
      image: "https://replicate.delivery/pbxt/Ip4GWuckD0EQYJUexIXYiaID0XHKdZQmCsk5s1SRdD2DhOK1/x_overview_subset2.png"
    }
  }
);

// 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 zacharylazzara/tent-detector using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "zacharylazzara/tent-detector:16484a7e7762f550a2a5c87a54cbd7978cd656b98f1eb8826bfa6e27a774db9a",
    input={
        "image": "https://replicate.delivery/pbxt/Ip4GWuckD0EQYJUexIXYiaID0XHKdZQmCsk5s1SRdD2DhOK1/x_overview_subset2.png"
    }
)
print(output)

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

Run zacharylazzara/tent-detector 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": "zacharylazzara/tent-detector:16484a7e7762f550a2a5c87a54cbd7978cd656b98f1eb8826bfa6e27a774db9a",
    "input": {
      "image": "https://replicate.delivery/pbxt/Ip4GWuckD0EQYJUexIXYiaID0XHKdZQmCsk5s1SRdD2DhOK1/x_overview_subset2.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

25.0 seconds

zacharylazzara/tent-detector:16484a7e7762f550a2a5c87a54cbd7978cd656b98f1eb8826bfa6e27a774db9a

Prediction

Model

ID

2cxkcbyznbgevml3f6r7njn45q

Status

Succeeded

Source

Web

Hardware

–

Total duration

25.2s

Created

about 2 years ago

Input

image

{
  "image": "https://replicate.delivery/pbxt/Ip4HAFNkSUHmEkgT2l9qKzyEwuAC44Hmpnrvf9MzDwRzUwhG/x_overview_subset3.png"
}

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 zacharylazzara/tent-detector using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "zacharylazzara/tent-detector:16484a7e7762f550a2a5c87a54cbd7978cd656b98f1eb8826bfa6e27a774db9a",
  {
    input: {
      image: "https://replicate.delivery/pbxt/Ip4HAFNkSUHmEkgT2l9qKzyEwuAC44Hmpnrvf9MzDwRzUwhG/x_overview_subset3.png"
    }
  }
);

// 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 zacharylazzara/tent-detector using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "zacharylazzara/tent-detector:16484a7e7762f550a2a5c87a54cbd7978cd656b98f1eb8826bfa6e27a774db9a",
    input={
        "image": "https://replicate.delivery/pbxt/Ip4HAFNkSUHmEkgT2l9qKzyEwuAC44Hmpnrvf9MzDwRzUwhG/x_overview_subset3.png"
    }
)
print(output)

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

Run zacharylazzara/tent-detector 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": "zacharylazzara/tent-detector:16484a7e7762f550a2a5c87a54cbd7978cd656b98f1eb8826bfa6e27a774db9a",
    "input": {
      "image": "https://replicate.delivery/pbxt/Ip4HAFNkSUHmEkgT2l9qKzyEwuAC44Hmpnrvf9MzDwRzUwhG/x_overview_subset3.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

Generated in

25.2 seconds