fofr/nsfw-model-comparison – Run with an API on Replicate

fofr / nsfw-model-comparison

Compare nsfw models against inputs

Cold

Public
116 runs
L40S
GitHub

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=fofr/nsfw-model-comparison

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 fofr/nsfw-model-comparison using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "fofr/nsfw-model-comparison:684e5e879da2bcdbddc1a094650e17179d14024398d1d6146c6382ff07488fc1",
  {
    input: {
      image: "https://replicate.delivery/pbxt/LZ407zJWvzliNmeTeeb7VVlSo8IMdFanNlGEziaIHHxXvmcS/ComfyUI_00301_.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 fofr/nsfw-model-comparison using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "fofr/nsfw-model-comparison:684e5e879da2bcdbddc1a094650e17179d14024398d1d6146c6382ff07488fc1",
    input={
        "image": "https://replicate.delivery/pbxt/LZ407zJWvzliNmeTeeb7VVlSo8IMdFanNlGEziaIHHxXvmcS/ComfyUI_00301_.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 fofr/nsfw-model-comparison 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": "684e5e879da2bcdbddc1a094650e17179d14024398d1d6146c6382ff07488fc1",
    "input": {
      "image": "https://replicate.delivery/pbxt/LZ407zJWvzliNmeTeeb7VVlSo8IMdFanNlGEziaIHHxXvmcS/ComfyUI_00301_.png"
    }
  }' \
  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/fofr/nsfw-model-comparison@sha256:684e5e879da2bcdbddc1a094650e17179d14024398d1d6146c6382ff07488fc1 \
  -i 'image="https://replicate.delivery/pbxt/LZ407zJWvzliNmeTeeb7VVlSo8IMdFanNlGEziaIHHxXvmcS/ComfyUI_00301_.png"'

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/fofr/nsfw-model-comparison@sha256:684e5e879da2bcdbddc1a094650e17179d14024398d1d6146c6382ff07488fc1
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "image": "https://replicate.delivery/pbxt/LZ407zJWvzliNmeTeeb7VVlSo8IMdFanNlGEziaIHHxXvmcS/ComfyUI_00301_.png"
    }
  }' \
  http://localhost:5000/predictions

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

Output

falcon_is_safe

compvis_is_safe

falcon_time_taken

0.14787530899047852

compvis_time_taken

0.4556546211242676

Generated in

1.1 seconds

Tweak it Share Report

Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This model doesn't have a readme.