arielreplicate/gscorecam-clip-analyzer:8ffb602b

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arielreplicate /gscorecam-clip-analyzer:8ffb602b

Playground API

Input

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

npx create-replicate --model=arielreplicate/gscorecam-clip-analyzer

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 arielreplicate/gscorecam-clip-analyzer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "arielreplicate/gscorecam-clip-analyzer:8ffb602b35a3c4836758bfa8d9f6f19bb6d8870b2e1d6c2f5744e091f5ed9d37",
  {
    input: {
      drop: true,
      topk: 300,
      input_text: "Apple",
      input_image: "https://replicate.delivery/pbxt/IAa6qtgBBpgrG7xEqYd7aQRTnS4hfnXzGYqhK1MS3OTICtBm/apple-ipod.jpg",
      clip_version: "RN50x16",
      overly_output: true
    }
  }
);
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 arielreplicate/gscorecam-clip-analyzer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "arielreplicate/gscorecam-clip-analyzer:8ffb602b35a3c4836758bfa8d9f6f19bb6d8870b2e1d6c2f5744e091f5ed9d37",
    input={
        "drop": True,
        "topk": 300,
        "input_text": "Apple",
        "input_image": "https://replicate.delivery/pbxt/IAa6qtgBBpgrG7xEqYd7aQRTnS4hfnXzGYqhK1MS3OTICtBm/apple-ipod.jpg",
        "clip_version": "RN50x16",
        "overly_output": True
    }
)
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 arielreplicate/gscorecam-clip-analyzer 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": "8ffb602b35a3c4836758bfa8d9f6f19bb6d8870b2e1d6c2f5744e091f5ed9d37",
    "input": {
      "drop": true,
      "topk": 300,
      "input_text": "Apple",
      "input_image": "https://replicate.delivery/pbxt/IAa6qtgBBpgrG7xEqYd7aQRTnS4hfnXzGYqhK1MS3OTICtBm/apple-ipod.jpg",
      "clip_version": "RN50x16",
      "overly_output": true
    }
  }' \
  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/arielreplicate/gscorecam-clip-analyzer@sha256:8ffb602b35a3c4836758bfa8d9f6f19bb6d8870b2e1d6c2f5744e091f5ed9d37 \
  -i 'drop=true' \
  -i 'topk=300' \
  -i 'input_text="Apple"' \
  -i 'input_image="https://replicate.delivery/pbxt/IAa6qtgBBpgrG7xEqYd7aQRTnS4hfnXzGYqhK1MS3OTICtBm/apple-ipod.jpg"' \
  -i 'clip_version="RN50x16"' \
  -i 'overly_output=true'

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/arielreplicate/gscorecam-clip-analyzer@sha256:8ffb602b35a3c4836758bfa8d9f6f19bb6d8870b2e1d6c2f5744e091f5ed9d37
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "drop": true,
      "topk": 300,
      "input_text": "Apple",
      "input_image": "https://replicate.delivery/pbxt/IAa6qtgBBpgrG7xEqYd7aQRTnS4hfnXzGYqhK1MS3OTICtBm/apple-ipod.jpg",
      "clip_version": "RN50x16",
      "overly_output": true
    }
  }' \
  http://localhost:5000/predictions

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

Output

Generated in

22.5 seconds

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