camenduru/moe-llava – Run with an API on Replicate

camenduru / moe-llava

MoE-LLaVA

Cold

Public
1.4M runs
L40S
GitHub
Paper
License

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=camenduru/moe-llava

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 camenduru/moe-llava using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "camenduru/moe-llava:89fdc330e9ec99dd986e132609a042a040d5d2103749765df45b99c5fe540138",
  {
    input: {
      input_text: "What is unusual about this image?",
      input_image: "https://replicate.delivery/pbxt/KKwRwdjnYkfeOPaYS4grNRxN11dhO31QUwFNdhcAibey34cC/EICar.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

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 camenduru/moe-llava using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "camenduru/moe-llava:89fdc330e9ec99dd986e132609a042a040d5d2103749765df45b99c5fe540138",
    input={
        "input_text": "What is unusual about this image?",
        "input_image": "https://replicate.delivery/pbxt/KKwRwdjnYkfeOPaYS4grNRxN11dhO31QUwFNdhcAibey34cC/EICar.jpg"
    }
)
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 camenduru/moe-llava 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": "89fdc330e9ec99dd986e132609a042a040d5d2103749765df45b99c5fe540138",
    "input": {
      "input_text": "What is unusual about this image?",
      "input_image": "https://replicate.delivery/pbxt/KKwRwdjnYkfeOPaYS4grNRxN11dhO31QUwFNdhcAibey34cC/EICar.jpg"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/camenduru/moe-llava@sha256:89fdc330e9ec99dd986e132609a042a040d5d2103749765df45b99c5fe540138 \
  -i 'input_text="What is unusual about this image?"' \
  -i 'input_image="https://replicate.delivery/pbxt/KKwRwdjnYkfeOPaYS4grNRxN11dhO31QUwFNdhcAibey34cC/EICar.jpg"'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 r8.im/camenduru/moe-llava@sha256:89fdc330e9ec99dd986e132609a042a040d5d2103749765df45b99c5fe540138
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "input_text": "What is unusual about this image?",
      "input_image": "https://replicate.delivery/pbxt/KKwRwdjnYkfeOPaYS4grNRxN11dhO31QUwFNdhcAibey34cC/EICar.jpg"
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

The unusual aspect of this image is that a man is standing on top of a pickup truck, specifically on the bed of the truck, while ironing clothes on a portable ironing board. This is not a typical scene, as it is not common for someone to iron clothes while standing on a moving vehicle, especially a truck. It is also not safe to perform such activities while in motion, as it can lead to accidents or injuries.

Generated in

5.7 seconds

Tweak it Report

Run time and cost

This model costs approximately $0.0048 to run on Replicate, or 208 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 5 seconds. The predict time for this model varies significantly based on the inputs.

Readme

🐣 Please follow me for new updates https://twitter.com/camenduru
🔥 Please join our discord server https://discord.gg/k5BwmmvJJU
🥳 Please join my patreon community https://patreon.com/camenduru

Input

Output

Run time and cost

Readme

🕸 Replicate

🧬 Code

📄 Paper

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