PixelFlow Template

AI Photo Booth Figurine

API

If you're looking for an API, here is a sample code in NodeJS to help you out.

const axios = require('axios');
   
   const api_key = "YOUR API KEY";
   const url = "https://api.segmind.com/workflows/66c605bc46faad9805861070-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

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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 - Figurine Generator

AI Photo Booth Figurine Generator transforms simple photographs into lifelike figurines, providing a fun and innovative way for designers and developers to create customised digital art of the user with just a face image.

The AI Figurine Generator operates by following a structured flow involving a series of AI models specifically tuned for image transformation.

Workflow Details

Below is an overview of this process:

Stage 1: The process begins with the user uploading an image of the subject they wish to transform into a figurine. This can be a portrait photo or any clear image of a person or character.
Stage 2: We use Flux Dev model to generate a Figurine image with the given prompt users can then adjust the pose or select a style for the figurine. This might include predefined poses or custom settings to match the user's creative intent by changing the prompt
Stage 3: InstantID model processes the image to detect key facial and body features and use the depth information from the Flux output image.
Stage 4: Once the necessary adjustments are made, the AI model generates a digital 3D figurine based on the processed image. This involves advanced neural networks that can create high-fidelity and lifelike representations.

The AI Figurine Generator represents a significant leap in digital art and design, allowing professionals to explore new creative horizons.

By integrating cutting-edge AI models, this technology simplifies and accelerates the process of creating highly detailed figurines from ordinary photos. Developers can further enhance utility by customising integration with various platforms, making the AI Figurine Generator a versatile tool for modern digital artistry.

Models Used in the Pixelflow

flux-dev

Flux Dev is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions

insta-depth

InstantID aims to generate customized images with various poses or styles from only a single reference ID image while ensuring high fidelity