lucataco / qwen-vl-chat

A multimodal LLM-based AI assistant, which is trained with alignment techniques. Qwen-VL-Chat supports more flexible interaction, such as multi-round question answering, and creative capabilities.

Cold

Public
800K runs
L40S
GitHub
Paper

Run with an API

Playground API Examples README Versions

Input

Run this model in Node.js with one line of code:

npx create-replicate --model=lucataco/qwen-vl-chat

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

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

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

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.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

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": "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

Run time and cost

This model costs approximately $0.0024 to run on Replicate, or 416 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 3 seconds.

Readme

About

Implementation of Qwen/Qwen-VL-Chat

Based on the tutorial code here

Support

Give me a follow if you like my work! @lucataco93