Hindi AI Image Generator

हिंदी एआई चित्र जनरेटर. Generate AI images from hindi prompts using this multilingual text-to-image workflow with automatic translation and customizable model outputs.

Playground API Pixelflow

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/6808c819bc3ecefbf62e79a0-v4";
   const data = {
     Prompt_in_hindi: "the user input string"
   };
    
   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

{
  "ideogram_output": "image in URL Format",
  "flux_output": "image in URL Format"
}

Attributes

Prompt_in_hindistr*

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.

Workflow Overview: Translating Text-to-Image Prompts and Generating Visuals

This workflow is designed to help users generate AI images from prompts written in non-English languages, specifically Hindi in this example. The goal is to allow creators, marketers, educators, and designers to ideate visually using natural language input—regardless of the language they speak.

How It Works

Text Input Node (Hindi Prompt)
The workflow begins with a text node that accepts a Hindi-language prompt:
"छोटे से अस्त-व्यस्त कमरे की दीवार पर एक पौराणिक जंगल का द्वार"
(Translation: "A gate to a mythical forest on the wall of a small, messy bedroom")
Translation Node (Google Translate)
This text is passed to a Google Translate node configured to convert from Hindi to English. It automatically outputs the translated version, making it compatible with most text-to-image AI models that require English prompts for optimal results.
Text-to-Image Generation Nodes
The translated prompt is sent to two different models:
- Ideogram 2a: A text-to-image model that typically emphasizes artistic and stylistic outputs.
- Fast Flux.1 Schnell: A performant model optimized for quick and coherent visual rendering.
Output Display
The final image is rendered and displayed through an output node. In this workflow, the Fast Flux.1 Schnell model output is shown, illustrating a wall with a mystical gateway embedded in a cluttered bedroom setting—true to the original idea.

How to Customize This Workflow

This setup can be easily adapted for various use cases:

Change the Input Language: Replace the Hindi text with any other language. Update the Google Translate configuration accordingly.
Use Your Own Prompts: Simply modify the text input to describe your desired scene. For example, "एक नीली चट्टान पर बैठा हुआ बुद्ध" (Buddha sitting on a blue rock).
Swap Out Models: You can plug in different AI models for varied styles—whether you're aiming for realism, illustration, anime, or 3D.
Multi-output Testing: Connect the translation node to multiple image models and compare the results side-by-side to choose the best fit for your creative vision.
Add More Layers: Integrate image upscalers, stylizers, or even caption generators as follow-up nodes for a complete content pipeline.

This workflow empowers global creators by removing language barriers and enabling high-quality AI-generated imagery—one prompt at a time.

Models Used in the Pixelflow

google-translate

Translate effortlessly with the powerful Google Translation AI model.

ideogram-2a-txt-2-img

Create captivating designs, realistic images & innovative logos with Ideogram 2a text-to-image.

fast-flux-schnell

Fast Flux.1 Schnell by Segmind is an optimized text-to-image model designed for developers needing faster image generation. It offers high efficiency without compromising quality. Perfect for startups and engineers seeking quick, resource-efficient AI models.