Prediction

kdexd/virtex-image-captioning:b0837af0efff01cf6a2c7e6b714a7580bcf99c4b6968b174a6cd2686ebc7de2d

Model

kdexd/virtex-image-captioning:b0837af0

ID

3aup56ndb5gbzkpln77cphw2bm

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

about 4 years ago by @chenxwh

Input

image

{
  "image": "https://replicate.delivery/mgxm/38f5e100-675a-4124-b0c5-23afdbe55f76/1.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 kdexd/virtex-image-captioning using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "kdexd/virtex-image-captioning:b0837af0efff01cf6a2c7e6b714a7580bcf99c4b6968b174a6cd2686ebc7de2d",
  {
    input: {
      image: "https://replicate.delivery/mgxm/38f5e100-675a-4124-b0c5-23afdbe55f76/1.jpg"
    }
  }
);

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 kdexd/virtex-image-captioning using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "kdexd/virtex-image-captioning:b0837af0efff01cf6a2c7e6b714a7580bcf99c4b6968b174a6cd2686ebc7de2d",
    input={
        "image": "https://replicate.delivery/mgxm/38f5e100-675a-4124-b0c5-23afdbe55f76/1.jpg"
    }
)

# The kdexd/virtex-image-captioning model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/kdexd/virtex-image-captioning/api#output-schema
    print(item)

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

Run kdexd/virtex-image-captioning 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": "kdexd/virtex-image-captioning:b0837af0efff01cf6a2c7e6b714a7580bcf99c4b6968b174a6cd2686ebc7de2d",
    "input": {
      "image": "https://replicate.delivery/mgxm/38f5e100-675a-4124-b0c5-23afdbe55f76/1.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

a cat sleeping on top of a pair of shoes.

Tweak it Share Report

Prediction

kdexd/virtex-image-captioning:b0837af0efff01cf6a2c7e6b714a7580bcf99c4b6968b174a6cd2686ebc7de2d

Model

kdexd/virtex-image-captioning:b0837af0

ID

qry44cgaqjd2vl3bfjjmuunyrq

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

about 4 years ago

Input

image

{
  "image": "https://replicate.delivery/mgxm/1656b6a8-4672-43a4-96da-6ff5b1552ae6/2.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 kdexd/virtex-image-captioning using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "kdexd/virtex-image-captioning:b0837af0efff01cf6a2c7e6b714a7580bcf99c4b6968b174a6cd2686ebc7de2d",
  {
    input: {
      image: "https://replicate.delivery/mgxm/1656b6a8-4672-43a4-96da-6ff5b1552ae6/2.jpg"
    }
  }
);

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 kdexd/virtex-image-captioning using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "kdexd/virtex-image-captioning:b0837af0efff01cf6a2c7e6b714a7580bcf99c4b6968b174a6cd2686ebc7de2d",
    input={
        "image": "https://replicate.delivery/mgxm/1656b6a8-4672-43a4-96da-6ff5b1552ae6/2.jpg"
    }
)

# The kdexd/virtex-image-captioning model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/kdexd/virtex-image-captioning/api#output-schema
    print(item)

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

Run kdexd/virtex-image-captioning 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": "kdexd/virtex-image-captioning:b0837af0efff01cf6a2c7e6b714a7580bcf99c4b6968b174a6cd2686ebc7de2d",
    "input": {
      "image": "https://replicate.delivery/mgxm/1656b6a8-4672-43a4-96da-6ff5b1552ae6/2.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

a dog standing on the roof of a car.

Tweak it Share Report

Prediction

kdexd/virtex-image-captioning:b0837af0efff01cf6a2c7e6b714a7580bcf99c4b6968b174a6cd2686ebc7de2d

Model

kdexd/virtex-image-captioning:b0837af0

ID

cqjm7pgxfbao7k2da5py2pr5ry

Status

Succeeded

Source

Web

Hardware

–

Total duration

–

Created

about 4 years ago

Input

image

{
  "image": "https://replicate.delivery/mgxm/5473905c-a93f-474e-96ba-ce27e608aff3/3.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 kdexd/virtex-image-captioning using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "kdexd/virtex-image-captioning:b0837af0efff01cf6a2c7e6b714a7580bcf99c4b6968b174a6cd2686ebc7de2d",
  {
    input: {
      image: "https://replicate.delivery/mgxm/5473905c-a93f-474e-96ba-ce27e608aff3/3.jpg"
    }
  }
);

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 kdexd/virtex-image-captioning using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "kdexd/virtex-image-captioning:b0837af0efff01cf6a2c7e6b714a7580bcf99c4b6968b174a6cd2686ebc7de2d",
    input={
        "image": "https://replicate.delivery/mgxm/5473905c-a93f-474e-96ba-ce27e608aff3/3.jpg"
    }
)

# The kdexd/virtex-image-captioning model can stream output as it's running.
# The predict method returns an iterator, and you can iterate over that output.
for item in output:
    # https://replicate.com/kdexd/virtex-image-captioning/api#output-schema
    print(item)

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

Run kdexd/virtex-image-captioning 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": "kdexd/virtex-image-captioning:b0837af0efff01cf6a2c7e6b714a7580bcf99c4b6968b174a6cd2686ebc7de2d",
    "input": {
      "image": "https://replicate.delivery/mgxm/5473905c-a93f-474e-96ba-ce27e608aff3/3.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

an orange sitting on top of a wooden table.

Tweak it Share Report

Prediction

Input

Output

Prediction

Input

Output

Prediction

Input

Output

Logs (3aup56ndb5gbzkpln77cphw2bm)

Logs (qry44cgaqjd2vl3bfjjmuunyrq)

Logs (cqjm7pgxfbao7k2da5py2pr5ry)