POST

javascript

const axios = require('axios');
   
   const api_key = "YOUR API KEY";
   const url = "https://api.segmind.com/workflows/66c5fea446faad980586106c-v1";
   const data = {
     input_image: "publicly accessible image link"
   };
    
   axios.post(url, data, {
     headers: {
       'x-api-key': api_key,
       'Content-Type': 'application/json'
     }
   }).then((response) => {
     console.log(response.data);
   });

Response

application/json

{
  "poll_url": "<base_url>/requests/<some_request_id>",
  "request_id": "some_request_id",
  "status": "QUEUED"
}

You can poll the above link to get the status and output of your request.

Response

application/json

1
2
3

{
  "output_image": "image in URL Format"
}

Attributes

input_imageimage*

To keep track of your credit usage, you can inspect the response headers of each API call. The x-remaining-credits property will indicate the number of remaining credits in your account. Ensure you monitor this value to avoid any disruptions in your API usage.

AI Photo Booth - Arcade Style

Creating an Arcade Style Photobooth using this workflow transform any event into a vibrant and unforgettable experience with the Arcade Style Photobooth workflow with your images

Inspired by classic arcade games, the Arcade Style Photobooth is a visually striking structure adorned with vibrant lights, retro buttons, and iconic fonts. This nostalgic design creates an immersive atmosphere that transports users back to the golden era of gaming.

The core concept revolves around user engagement and creativity. By seamlessly integrating advanced technology, the photobooth offers a wide range of filters, backgrounds, and effects inspired by popular arcade games and '80s and '90s pop culture.

Workflow Details

The photobooth's user-friendly interface guides users through a fun and interactive experience:

Stage 1: You can provide a clear face image to initiate the process.
Stage 2: We use the Flux Dev model to generate a new reference photo in a retro arcade style by experimenting with various prompts, filters, backgrounds, and elements. This stage encourages user creativity and experimentation. Multiple ideas can be explored before finalising the desired look.
Stage 3: The Fooocus node combines the input face image with the reference image from the Flux node using the same prompt to generate a highly realistic and immersive arcade-style portrait.
Stage 4: The output image undergoes a face swap and clarity denoising with codeformer to further refine the resemblance to the original face image, creating a truly authentic and captivating result.

The Arcade Style Photobooth is more than just a photo booth with Gen AI; it's a captivating experience that blends nostalgia with innovation. This project offers a fantastic opportunity for designers and developers to showcase their creativity and expertise in combining art and technology.