zsxkib/yolo-world:745d39ce – Run with an API on Replicate

Version

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zsxkib /yolo-world:745d39ce

Playground API

Input

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

npx create-replicate --model=zsxkib/yolo-world

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 zsxkib/yolo-world using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "zsxkib/yolo-world:745d39ce1c146bb7bbce1a554a665a54f9c67b44f21bb567e48e06205aead662",
  {
    input: {
      nms_thr: 0.5,
      score_thr: 0.05,
      class_names: "dog, eye, tongue, ear, leash, backpack, person, nose",
      max_num_boxes: 100
    }
  }
);
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 zsxkib/yolo-world using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "zsxkib/yolo-world:745d39ce1c146bb7bbce1a554a665a54f9c67b44f21bb567e48e06205aead662",
    input={
        "nms_thr": 0.5,
        "score_thr": 0.05,
        "class_names": "dog, eye, tongue, ear, leash, backpack, person, nose",
        "max_num_boxes": 100
    }
)
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 zsxkib/yolo-world 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": "745d39ce1c146bb7bbce1a554a665a54f9c67b44f21bb567e48e06205aead662",
    "input": {
      "nms_thr": 0.5,
      "score_thr": 0.05,
      "class_names": "dog, eye, tongue, ear, leash, backpack, person, nose",
      "max_num_boxes": 100
    }
  }' \
  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/zsxkib/yolo-world@sha256:745d39ce1c146bb7bbce1a554a665a54f9c67b44f21bb567e48e06205aead662 \
  -i 'nms_thr=0.5' \
  -i 'score_thr=0.05' \
  -i 'class_names="dog, eye, tongue, ear, leash, backpack, person, nose"' \
  -i 'max_num_boxes=100'

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 --gpus=all r8.im/zsxkib/yolo-world@sha256:745d39ce1c146bb7bbce1a554a665a54f9c67b44f21bb567e48e06205aead662
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "nms_thr": 0.5,
      "score_thr": 0.05,
      "class_names": "dog, eye, tongue, ear, leash, backpack, person, nose",
      "max_num_boxes": 100
    }
  }' \
  http://localhost:5000/predictions

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

Output

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