Prediction

ID

rawdek6dxxrgm0cjch1bd71hbm

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2m

Created

7 months ago

Input

task: depth
image

{
  "task": "depth",
  "image": "https://replicate.delivery/pbxt/Lka84th0JnWOALVFOCmslNRI7ygy0kUCYNxjpVwZ3nsGTnQo/07.jpg"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run chenxwh/lotus using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "chenxwh/lotus:87d8467fb2d23f07f2aa0b9e08585dd60bd3b163bef0c2dc7274be64904f4198",
  {
    input: {
      task: "depth",
      image: "https://replicate.delivery/pbxt/Lka84th0JnWOALVFOCmslNRI7ygy0kUCYNxjpVwZ3nsGTnQo/07.jpg"
    }
  }
);

console.log(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 chenxwh/lotus using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "chenxwh/lotus:87d8467fb2d23f07f2aa0b9e08585dd60bd3b163bef0c2dc7274be64904f4198",
    input={
        "task": "depth",
        "image": "https://replicate.delivery/pbxt/Lka84th0JnWOALVFOCmslNRI7ygy0kUCYNxjpVwZ3nsGTnQo/07.jpg"
    }
)
print(output)

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

Run chenxwh/lotus 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": "chenxwh/lotus:87d8467fb2d23f07f2aa0b9e08585dd60bd3b163bef0c2dc7274be64904f4198",
    "input": {
      "task": "depth",
      "image": "https://replicate.delivery/pbxt/Lka84th0JnWOALVFOCmslNRI7ygy0kUCYNxjpVwZ3nsGTnQo/07.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

generative

discriminative

Generated in

39.4 seconds

chenxwh/lotus:87d8467fb2d23f07f2aa0b9e08585dd60bd3b163bef0c2dc7274be64904f4198

Prediction

Model

ID

z23dqprdrdrgj0cjch5tx037tr

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

89.1s

Created

7 months ago

Input

task: normal
image

{
  "task": "normal",
  "image": "https://replicate.delivery/pbxt/LkaIRJluDRDs732kqc3TS6QkO9WpMLAxldk5TUkAVcBa7HaJ/08.jpg"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run chenxwh/lotus using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "chenxwh/lotus:87d8467fb2d23f07f2aa0b9e08585dd60bd3b163bef0c2dc7274be64904f4198",
  {
    input: {
      task: "normal",
      image: "https://replicate.delivery/pbxt/LkaIRJluDRDs732kqc3TS6QkO9WpMLAxldk5TUkAVcBa7HaJ/08.jpg"
    }
  }
);

console.log(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 chenxwh/lotus using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "chenxwh/lotus:87d8467fb2d23f07f2aa0b9e08585dd60bd3b163bef0c2dc7274be64904f4198",
    input={
        "task": "normal",
        "image": "https://replicate.delivery/pbxt/LkaIRJluDRDs732kqc3TS6QkO9WpMLAxldk5TUkAVcBa7HaJ/08.jpg"
    }
)
print(output)

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

Run chenxwh/lotus 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": "chenxwh/lotus:87d8467fb2d23f07f2aa0b9e08585dd60bd3b163bef0c2dc7274be64904f4198",
    "input": {
      "task": "normal",
      "image": "https://replicate.delivery/pbxt/LkaIRJluDRDs732kqc3TS6QkO9WpMLAxldk5TUkAVcBa7HaJ/08.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

generative

discriminative

Generated in

9.6 seconds

chenxwh/lotus:87d8467fb2d23f07f2aa0b9e08585dd60bd3b163bef0c2dc7274be64904f4198

Prediction

Model

ID

222mxbfg8nrgj0cjch68kpkeqm

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

8.6s

Created

7 months ago

Input

task: depth
image

{
  "task": "depth",
  "image": "https://replicate.delivery/pbxt/LkaKN12RO4glC4f31iGrZ686qAVjHaVOHsEXkYYCqq4Sup6U/08.jpg"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run chenxwh/lotus using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "chenxwh/lotus:87d8467fb2d23f07f2aa0b9e08585dd60bd3b163bef0c2dc7274be64904f4198",
  {
    input: {
      task: "depth",
      image: "https://replicate.delivery/pbxt/LkaKN12RO4glC4f31iGrZ686qAVjHaVOHsEXkYYCqq4Sup6U/08.jpg"
    }
  }
);

console.log(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 chenxwh/lotus using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "chenxwh/lotus:87d8467fb2d23f07f2aa0b9e08585dd60bd3b163bef0c2dc7274be64904f4198",
    input={
        "task": "depth",
        "image": "https://replicate.delivery/pbxt/LkaKN12RO4glC4f31iGrZ686qAVjHaVOHsEXkYYCqq4Sup6U/08.jpg"
    }
)
print(output)

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

Run chenxwh/lotus 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": "chenxwh/lotus:87d8467fb2d23f07f2aa0b9e08585dd60bd3b163bef0c2dc7274be64904f4198",
    "input": {
      "task": "depth",
      "image": "https://replicate.delivery/pbxt/LkaKN12RO4glC4f31iGrZ686qAVjHaVOHsEXkYYCqq4Sup6U/08.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

generative

discriminative

Generated in

8.5 seconds

chenxwh/lotus:87d8467fb2d23f07f2aa0b9e08585dd60bd3b163bef0c2dc7274be64904f4198

Prediction

Model

ID

5r1e9214e5rgg0cjch7v952tt8

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

3.6s

Created

7 months ago

Input

task: depth
image

{
  "task": "depth",
  "image": "https://replicate.delivery/pbxt/LkaMex4Arb2keUXT7gmsQV2Z0diFDZRJmjjuwGuUP67av5PY/06.jpg"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run chenxwh/lotus using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "chenxwh/lotus:87d8467fb2d23f07f2aa0b9e08585dd60bd3b163bef0c2dc7274be64904f4198",
  {
    input: {
      task: "depth",
      image: "https://replicate.delivery/pbxt/LkaMex4Arb2keUXT7gmsQV2Z0diFDZRJmjjuwGuUP67av5PY/06.jpg"
    }
  }
);

console.log(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 chenxwh/lotus using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "chenxwh/lotus:87d8467fb2d23f07f2aa0b9e08585dd60bd3b163bef0c2dc7274be64904f4198",
    input={
        "task": "depth",
        "image": "https://replicate.delivery/pbxt/LkaMex4Arb2keUXT7gmsQV2Z0diFDZRJmjjuwGuUP67av5PY/06.jpg"
    }
)
print(output)

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

Run chenxwh/lotus 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": "chenxwh/lotus:87d8467fb2d23f07f2aa0b9e08585dd60bd3b163bef0c2dc7274be64904f4198",
    "input": {
      "task": "depth",
      "image": "https://replicate.delivery/pbxt/LkaMex4Arb2keUXT7gmsQV2Z0diFDZRJmjjuwGuUP67av5PY/06.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

generative

discriminative

Generated in

3.5 seconds

chenxwh/lotus:87d8467fb2d23f07f2aa0b9e08585dd60bd3b163bef0c2dc7274be64904f4198

Prediction

Model

ID

mkh8kf5apnrgm0cjch7vpf6ekm

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

4.0s

Created

7 months ago

Input

task: normal
image

{
  "task": "normal",
  "image": "https://replicate.delivery/pbxt/LkaNCowFSW5vLbLtaZ4rOf24DdDZUPV323vtDKen9xwm8IDY/06.jpg"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run chenxwh/lotus using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "chenxwh/lotus:87d8467fb2d23f07f2aa0b9e08585dd60bd3b163bef0c2dc7274be64904f4198",
  {
    input: {
      task: "normal",
      image: "https://replicate.delivery/pbxt/LkaNCowFSW5vLbLtaZ4rOf24DdDZUPV323vtDKen9xwm8IDY/06.jpg"
    }
  }
);

console.log(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 chenxwh/lotus using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "chenxwh/lotus:87d8467fb2d23f07f2aa0b9e08585dd60bd3b163bef0c2dc7274be64904f4198",
    input={
        "task": "normal",
        "image": "https://replicate.delivery/pbxt/LkaNCowFSW5vLbLtaZ4rOf24DdDZUPV323vtDKen9xwm8IDY/06.jpg"
    }
)
print(output)

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

Run chenxwh/lotus 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": "chenxwh/lotus:87d8467fb2d23f07f2aa0b9e08585dd60bd3b163bef0c2dc7274be64904f4198",
    "input": {
      "task": "normal",
      "image": "https://replicate.delivery/pbxt/LkaNCowFSW5vLbLtaZ4rOf24DdDZUPV323vtDKen9xwm8IDY/06.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

generative

discriminative

Generated in

3.9 seconds

chenxwh/lotus:87d8467fb2d23f07f2aa0b9e08585dd60bd3b163bef0c2dc7274be64904f4198

Prediction

Model

ID

k15vfbea31rgg0cjchkrbngkxc

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

39.8s

Created

7 months ago

Input

task: depth
image

{
  "task": "depth",
  "image": "https://replicate.delivery/pbxt/LkamAFQdYU0lA2aoTMaZTG9szCQTVUQ0Un70400MhmkM6Y8P/04.jpg"
}

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run chenxwh/lotus using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "chenxwh/lotus:87d8467fb2d23f07f2aa0b9e08585dd60bd3b163bef0c2dc7274be64904f4198",
  {
    input: {
      task: "depth",
      image: "https://replicate.delivery/pbxt/LkamAFQdYU0lA2aoTMaZTG9szCQTVUQ0Un70400MhmkM6Y8P/04.jpg"
    }
  }
);

console.log(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 chenxwh/lotus using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "chenxwh/lotus:87d8467fb2d23f07f2aa0b9e08585dd60bd3b163bef0c2dc7274be64904f4198",
    input={
        "task": "depth",
        "image": "https://replicate.delivery/pbxt/LkamAFQdYU0lA2aoTMaZTG9szCQTVUQ0Un70400MhmkM6Y8P/04.jpg"
    }
)
print(output)

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

Run chenxwh/lotus 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": "chenxwh/lotus:87d8467fb2d23f07f2aa0b9e08585dd60bd3b163bef0c2dc7274be64904f4198",
    "input": {
      "task": "depth",
      "image": "https://replicate.delivery/pbxt/LkamAFQdYU0lA2aoTMaZTG9szCQTVUQ0Un70400MhmkM6Y8P/04.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

generative

discriminative

Generated in

5.4 seconds