methexis-inc/img2prompt:50adaf2d – Run with an API on Replicate

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methexis-inc /img2prompt:50adaf2d

Playground API

Input

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

npx create-replicate --model=methexis-inc/img2prompt

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 methexis-inc/img2prompt using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "methexis-inc/img2prompt:50adaf2d3ad20a6f911a8a9e3ccf777b263b8596fbd2c8fc26e8888f8a0edbb5",
  {
    input: {
      image: "https://replicate.delivery/mgxm/8b4d747d-feca-477d-8069-ee4d5f89ad8e/a_high_detail_shot_of_a_cat_wearing_a_suit_realism_8k_-n_9_.png"
    }
  }
);
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 methexis-inc/img2prompt using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "methexis-inc/img2prompt:50adaf2d3ad20a6f911a8a9e3ccf777b263b8596fbd2c8fc26e8888f8a0edbb5",
    input={
        "image": "https://replicate.delivery/mgxm/8b4d747d-feca-477d-8069-ee4d5f89ad8e/a_high_detail_shot_of_a_cat_wearing_a_suit_realism_8k_-n_9_.png"
    }
)
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 methexis-inc/img2prompt 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": "50adaf2d3ad20a6f911a8a9e3ccf777b263b8596fbd2c8fc26e8888f8a0edbb5",
    "input": {
      "image": "https://replicate.delivery/mgxm/8b4d747d-feca-477d-8069-ee4d5f89ad8e/a_high_detail_shot_of_a_cat_wearing_a_suit_realism_8k_-n_9_.png"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Install Cog

brew install cog

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

Pull and run methexis-inc/img2prompt using Cog (this will download the full model and run it in your local environment):

cog predict r8.im/methexis-inc/img2prompt@sha256:50adaf2d3ad20a6f911a8a9e3ccf777b263b8596fbd2c8fc26e8888f8a0edbb5 \
  -i 'image="https://replicate.delivery/mgxm/8b4d747d-feca-477d-8069-ee4d5f89ad8e/a_high_detail_shot_of_a_cat_wearing_a_suit_realism_8k_-n_9_.png"'

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

Pull and run methexis-inc/img2prompt using Docker (this will download the full model and run it in your local environment):

docker run -d -p 5000:5000 --gpus=all r8.im/methexis-inc/img2prompt@sha256:50adaf2d3ad20a6f911a8a9e3ccf777b263b8596fbd2c8fc26e8888f8a0edbb5
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/mgxm/8b4d747d-feca-477d-8069-ee4d5f89ad8e/a_high_detail_shot_of_a_cat_wearing_a_suit_realism_8k_-n_9_.png"
    }
  }' \
  http://localhost:5000/predictions

Output

a cat wearing a suit and tie with green eyes, a stock photo by Hanns Katz, pexels, furry art, stockphoto, creative commons attribution, quantum wavetracing

Generated in

21.0 seconds

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