nsfw-api/joycaption-beta-one | Run with an API on Replicate

nsfw-api / joycaption-beta-one

Cold

Public
17.7K runs
L40S

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

image_zip

*file

Input ZIP file containing images to caption

prompt

string

Shift + Return to add a new line

Write a long descriptive caption for this image in a formal tone.Write a long descriptive caption for this image in a formal tone.

Prompt to guide the captioning (e.g., 'Write a detailed caption for this image')

Default: "Write a long descriptive caption for this image in a formal tone."

max_new_tokens

integer

Maximum number of tokens to generate

Default: 512

temperature

number

(minimum: 0.1, maximum: 2)

Sampling temperature (higher = more random)

Default: 0.6

top_p

number

(minimum: 0, maximum: 1)

Top-p sampling (nucleus sampling)

Default: 0.9

internal_batch_size

integer

(minimum: 1)

Number of images to process in a single internal GPU batch. Adjust based on VRAM.

Default: 8

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

npx create-replicate --model=nsfw-api/joycaption-beta-one

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 nsfw-api/joycaption-beta-one using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "nsfw-api/joycaption-beta-one:e5319aeb7b6bac4960678496413582ecf5fbdb1995dbfb26944324a4b7d45d12",
  {
    input: {
      top_p: 0.9,
      prompt: "Write a long descriptive caption for this image in a formal tone.",
      temperature: 0.6,
      max_new_tokens: 512,
      internal_batch_size: 8
    }
  }
);

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 nsfw-api/joycaption-beta-one using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "nsfw-api/joycaption-beta-one:e5319aeb7b6bac4960678496413582ecf5fbdb1995dbfb26944324a4b7d45d12",
    input={
        "top_p": 0.9,
        "prompt": "Write a long descriptive caption for this image in a formal tone.",
        "temperature": 0.6,
        "max_new_tokens": 512,
        "internal_batch_size": 8
    }
)

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 nsfw-api/joycaption-beta-one 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": "nsfw-api/joycaption-beta-one:e5319aeb7b6bac4960678496413582ecf5fbdb1995dbfb26944324a4b7d45d12",
    "input": {
      "top_p": 0.9,
      "prompt": "Write a long descriptive caption for this image in a formal tone.",
      "temperature": 0.6,
      "max_new_tokens": 512,
      "internal_batch_size": 8
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

No output yet! Press "Submit" to start a prediction.

Run time and cost

This model costs approximately $0.032 to run on Replicate, or 31 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 33 seconds. The predict time for this model varies significantly based on the inputs.

Readme

This model doesn't have a readme.