lucataco / nsfw_video_detection

FalconAIs NSFW detection model, extended for videos

Cold

Public
33.1K runs
T4
GitHub
Paper
License

Run with an API

Playground API Examples README Versions

Prediction

lucataco/nsfw_video_detection:ef94e6bbf329eebc092601a647996431056a58f479d0f4129ea6e8171374d158

Model

lucataco/nsfw_video_detection:ef94e6bb

hb07340spsrgc0cnj1ptqr186m

Status

Succeeded

Source

Web

Hardware

Total duration

0.7s

Created

2 months ago

Input

video
safety_tolerance: 2

{
  "video": "https://replicate.delivery/pbxt/MeYrKketDRwUdUPYlHEsA0UlcD4eOlFegxJwvJzFuhL1en1O/falcon2.mp4",
  "safety_tolerance": 2
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run lucataco/nsfw_video_detection using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lucataco/nsfw_video_detection:ef94e6bbf329eebc092601a647996431056a58f479d0f4129ea6e8171374d158",
  {
    input: {
      video: "https://replicate.delivery/pbxt/MeYrKketDRwUdUPYlHEsA0UlcD4eOlFegxJwvJzFuhL1en1O/falcon2.mp4",
      safety_tolerance: 2
    }
  }
);

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

Import the client:

import replicate

Run lucataco/nsfw_video_detection using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lucataco/nsfw_video_detection:ef94e6bbf329eebc092601a647996431056a58f479d0f4129ea6e8171374d158",
    input={
        "video": "https://replicate.delivery/pbxt/MeYrKketDRwUdUPYlHEsA0UlcD4eOlFegxJwvJzFuhL1en1O/falcon2.mp4",
        "safety_tolerance": 2
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Run lucataco/nsfw_video_detection 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": "lucataco/nsfw_video_detection:ef94e6bbf329eebc092601a647996431056a58f479d0f4129ea6e8171374d158",
    "input": {
      "video": "https://replicate.delivery/pbxt/MeYrKketDRwUdUPYlHEsA0UlcD4eOlFegxJwvJzFuhL1en1O/falcon2.mp4",
      "safety_tolerance": 2
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

normal

Generated in

0.7 seconds

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