French AI Image Generator

Générateur d'images IA française. Transform French text prompts into stunning AI-generated images with this seamless multilingual image generation workflow.

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/6808dcf8bc3ecefbf62e79bb-v8";
   const data = {
     Prompt_in_french: "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_frenchstr*

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.

Text-to-Image Workflow: From French Prompts to Visual Imagination

This workflow showcases a powerful example of how you can combine translation and generative AI to turn a textual idea—written in any language—into a vivid, AI-generated image. It's designed to help creators, marketers, and developers work with multilingual content and instantly visualize creative prompts without manual back-and-forth translation or model switching.

How the Workflow Works

Text Input Block:
It all begins with a user providing a prompt in a non-English language—in this case, French. The example used here describes a close-up of facial features with refined skin and natural glow:
"gros plan macro de la zone des joues et du nez avec une peau de verre raffinée..."
Translation Module (Google Translate Node):
The French text is passed into a translation node, which detects the source language (fr) and converts it to English (en). This is critical because most generative AI models accept prompts in English for optimal understanding and performance.
Dual Model Branching (Ideogram + Flux):
Once translated, the English prompt is passed to two different AI image generation models:
- Ideogram 2a: Known for stylistic interpretations and artistic outputs.
- Fast Flux 1 Schnell: Optimized for quick, high-quality rendering of imaginative scenes.
In the example, the translated prompt is creatively adapted to:
"A gate to a mythical forest on the wall of a small, messy bedroom"
This prompt results in distinct outputs from both models, offering users variety and creative control.
Output Block:
The images generated are visually displayed and can be saved or used in further workflows.

How You Can Customize This Workflow

Multilingual Input: Switch out the source language and input your own localized prompt—be it Spanish, Hindi, Japanese, or Arabic.
Model Selection: Route the translated prompt to different models depending on the output style you want—photorealistic, fantasy, abstract, or sketch-based.
Prompt Injection: Add post-processing or prefix/suffix edits to enhance prompt control, e.g., "high detail," "in cinematic lighting," etc.
Workflow Extension: Chain the output to caption generation, upscaling models, or even publishing tools for automation.

This workflow is a flexible, modular approach to turn any idea—regardless of language—into AI-powered visuals, perfect for global creators and AI-first content pipelines.

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.