Prediction

lucataco/qwen-vl-chat:89b7306278504236eb79995d38bbe342e09f2a405317a4c10f06095bc4faf2ec

Model

lucataco/qwen-vl-chat:89b73062

ID

wjidtf3bmjkk2ont6bbr2jtlr4

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

4m 11s

Created

almost 2 years ago

Input

image
prompt: What is the name of the movie in the poster?

{
  "image": "https://replicate.delivery/pbxt/JSwoXkHNfqkjHpPylaKkIK444Tln22PDu0hoywWewUUVqrGg/Rebecca_%281939_poster%29_Small.jpeg",
  "prompt": "What is the name of the movie in the poster?"
}

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 lucataco/qwen-vl-chat using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/qwen-vl-chat:89b7306278504236eb79995d38bbe342e09f2a405317a4c10f06095bc4faf2ec",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JSwoXkHNfqkjHpPylaKkIK444Tln22PDu0hoywWewUUVqrGg/Rebecca_%281939_poster%29_Small.jpeg",
      prompt: "What is the name of the movie in the poster?"
    }
  }
);

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 lucataco/qwen-vl-chat using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/qwen-vl-chat:89b7306278504236eb79995d38bbe342e09f2a405317a4c10f06095bc4faf2ec",
    input={
        "image": "https://replicate.delivery/pbxt/JSwoXkHNfqkjHpPylaKkIK444Tln22PDu0hoywWewUUVqrGg/Rebecca_%281939_poster%29_Small.jpeg",
        "prompt": "What is the name of the movie in the poster?"
    }
)

print(output)

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

Run lucataco/qwen-vl-chat 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": "lucataco/qwen-vl-chat:89b7306278504236eb79995d38bbe342e09f2a405317a4c10f06095bc4faf2ec",
    "input": {
      "image": "https://replicate.delivery/pbxt/JSwoXkHNfqkjHpPylaKkIK444Tln22PDu0hoywWewUUVqrGg/Rebecca_%281939_poster%29_Small.jpeg",
      "prompt": "What is the name of the movie in the poster?"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

The name of the movie in the poster is "Rebecca."

Generated in

2.8 seconds

Tweak it Share Report

Prediction

lucataco/qwen-vl-chat:89b7306278504236eb79995d38bbe342e09f2a405317a4c10f06095bc4faf2ec

Model

lucataco/qwen-vl-chat:89b73062

ID

qonytclbgqdaaymryjzbi4usra

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

2.9s

Created

almost 2 years ago

Input

image
prompt: What is in the picture?

{
  "image": "https://replicate.delivery/pbxt/JSxXndVb7NFIhfhwQvzzBlWAqDsorRKW755I50IYfbuOpZB4/Screenshot%202023-09-03%20at%208.09.47%20PM.png",
  "prompt": "What is in the picture?"
}

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 lucataco/qwen-vl-chat using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/qwen-vl-chat:89b7306278504236eb79995d38bbe342e09f2a405317a4c10f06095bc4faf2ec",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JSxXndVb7NFIhfhwQvzzBlWAqDsorRKW755I50IYfbuOpZB4/Screenshot%202023-09-03%20at%208.09.47%20PM.png",
      prompt: "What is in the picture?"
    }
  }
);

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 lucataco/qwen-vl-chat using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/qwen-vl-chat:89b7306278504236eb79995d38bbe342e09f2a405317a4c10f06095bc4faf2ec",
    input={
        "image": "https://replicate.delivery/pbxt/JSxXndVb7NFIhfhwQvzzBlWAqDsorRKW755I50IYfbuOpZB4/Screenshot%202023-09-03%20at%208.09.47%20PM.png",
        "prompt": "What is in the picture?"
    }
)

print(output)

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

Run lucataco/qwen-vl-chat 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": "lucataco/qwen-vl-chat:89b7306278504236eb79995d38bbe342e09f2a405317a4c10f06095bc4faf2ec",
    "input": {
      "image": "https://replicate.delivery/pbxt/JSxXndVb7NFIhfhwQvzzBlWAqDsorRKW755I50IYfbuOpZB4/Screenshot%202023-09-03%20at%208.09.47%20PM.png",
      "prompt": "What is in the picture?"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

The picture features the United States Capitol building, which is a well-known landmark in Washington, D.C. The Capitol is a large, white, neoclassical dome with a green lawn in front of it, creating a picturesque scene.

Generated in

2.9 seconds

Tweak it Share Report

Prediction

lucataco/qwen-vl-chat:89b7306278504236eb79995d38bbe342e09f2a405317a4c10f06095bc4faf2ec

Model

lucataco/qwen-vl-chat:89b73062

ID

lhz5de3bpvpkfzdeqhtfgtlrza

Status

Succeeded

Source

Web

Hardware

A40 (Large)

Total duration

1.6s

Created

almost 2 years ago

Input

image
prompt: 图里有啥

{
  "image": "https://replicate.delivery/pbxt/JSxaBIYFb6n4re7KYwX8tWoL4MRazHnbS5fYSrnQUKj9IeNV/Shanghai_Small.jpeg",
  "prompt": "图里有啥"
}

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 lucataco/qwen-vl-chat using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/qwen-vl-chat:89b7306278504236eb79995d38bbe342e09f2a405317a4c10f06095bc4faf2ec",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JSxaBIYFb6n4re7KYwX8tWoL4MRazHnbS5fYSrnQUKj9IeNV/Shanghai_Small.jpeg",
      prompt: "图里有啥"
    }
  }
);

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 lucataco/qwen-vl-chat using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/qwen-vl-chat:89b7306278504236eb79995d38bbe342e09f2a405317a4c10f06095bc4faf2ec",
    input={
        "image": "https://replicate.delivery/pbxt/JSxaBIYFb6n4re7KYwX8tWoL4MRazHnbS5fYSrnQUKj9IeNV/Shanghai_Small.jpeg",
        "prompt": "图里有啥"
    }
)

print(output)

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

Run lucataco/qwen-vl-chat 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": "lucataco/qwen-vl-chat:89b7306278504236eb79995d38bbe342e09f2a405317a4c10f06095bc4faf2ec",
    "input": {
      "image": "https://replicate.delivery/pbxt/JSxaBIYFb6n4re7KYwX8tWoL4MRazHnbS5fYSrnQUKj9IeNV/Shanghai_Small.jpeg",
      "prompt": "图里有啥"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

图中鸟儿展翅飞翔，背景是上海的高楼大厦，展现着这个国际大都市的繁华与美丽。

Generated in

1.6 seconds

Tweak it Share Report

Prediction

lucataco/qwen-vl-chat:50881b153b4d5f72b3db697e2bbad23bb1277ab741c5b52d80cd6ee17ea660e9

Model

lucataco/qwen-vl-chat:50881b15

ID

8g8a2cmkpdrm80ckkq8vxq231w

Status

Succeeded

Source

Web

Hardware

L40S

Total duration

3.3s

Created

8 months ago

Input

image
prompt: How much would I pay if I want to order two Salmon Burger and three Meat Lover\'s Pizza? Think carefully step by step.

{
  "image": "https://replicate.delivery/pbxt/JSwt0WCMKtolbjYYo6WYIE01Iemz3etQD6ugKxxeiVVlMgjF/Menu.jpeg",
  "prompt": "How much would I pay if I want to order two Salmon Burger and three Meat Lover\\'s Pizza? Think carefully step by step."
}

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 lucataco/qwen-vl-chat using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/qwen-vl-chat:50881b153b4d5f72b3db697e2bbad23bb1277ab741c5b52d80cd6ee17ea660e9",
  {
    input: {
      image: "https://replicate.delivery/pbxt/JSwt0WCMKtolbjYYo6WYIE01Iemz3etQD6ugKxxeiVVlMgjF/Menu.jpeg",
      prompt: "How much would I pay if I want to order two Salmon Burger and three Meat Lover\\'s Pizza? Think carefully step by step."
    }
  }
);

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 lucataco/qwen-vl-chat using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/qwen-vl-chat:50881b153b4d5f72b3db697e2bbad23bb1277ab741c5b52d80cd6ee17ea660e9",
    input={
        "image": "https://replicate.delivery/pbxt/JSwt0WCMKtolbjYYo6WYIE01Iemz3etQD6ugKxxeiVVlMgjF/Menu.jpeg",
        "prompt": "How much would I pay if I want to order two Salmon Burger and three Meat Lover\\'s Pizza? Think carefully step by step."
    }
)

print(output)

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

Run lucataco/qwen-vl-chat 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": "lucataco/qwen-vl-chat:50881b153b4d5f72b3db697e2bbad23bb1277ab741c5b52d80cd6ee17ea660e9",
    "input": {
      "image": "https://replicate.delivery/pbxt/JSwt0WCMKtolbjYYo6WYIE01Iemz3etQD6ugKxxeiVVlMgjF/Menu.jpeg",
      "prompt": "How much would I pay if I want to order two Salmon Burger and three Meat Lover\\\\\'s Pizza? Think carefully step by step."
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

If you want to order two Salmon Burgers and three Meat Lover's Pizzas, the total cost would depend on the price of each item on the menu. Let's assume that the price of a Salmon Burger is $10 and the price of a Meat Lover's Pizza is $12. In this case, the total cost for two Salmon Burgers would be $20 and the total cost for three Meat Lover's Pizzas would be $36. So, the total cost for two Salmon Burgers and three Meat Lover's Pizzas would be $56.

Generated in

3.3 seconds

Tweak it Share Report