Japanese AI Image generator

日本語のテキストから高品質なAI画像を生成するワークフローを紹介します。 Convert Japanese prompts into stunning AI-generated images using a seamless translation-to-visual pipeline.

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/6808ea527cbc8be62975d026-v2";
   const data = {
     Prompt_in_japanese: "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_japanesestr*

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.

Japanese AI Image Generation Workflow Using Segmind

This visual workflow is designed to convert Japanese text into detailed AI-generated images using a multi-step process, combining translation, prompt generation, and image synthesis via powerful text-to-image models.

How the Workflow Works

Input (Text Node)
The user begins by entering a description in Japanese. In the example shown, the Japanese text describes a small doll next to the keys of a pink keyboard.
Translation (Google Translate Node)
The Japanese input is passed to a translation node configured with Google Translate. It automatically converts the input into English, which is a more compatible prompt language for most AI image generation models.
Prompt Injection (Text-to-Image Nodes)
The translated English text is then used as a prompt for two different image generation models — Ideogram 2a and Fast Flux1 Schnell. Both are capable of generating high-quality macro photographs. In this case, the prompt describes a "tiny doll, smaller than the keyboard keys, standing next to a pink keyboard," which leads to a detailed and visually consistent output.
Output (Final Image)
The selected model (Fast Flux1 Schnell, in this case) produces a vivid, detailed image that visually aligns with the input concept — effectively turning Japanese language input into a photorealistic image.

How to Customize It

This workflow is easily adaptable for different use cases:

Language Localization: Swap out the source and target languages to support content creators from other regions.
Prompt Templates: Predefine prompt structures (e.g., "A [character] in a [setting], shot with [style]") to maintain visual consistency.
Model Selection: Experiment with different models to match the desired aesthetic or speed-performance trade-off. Flux models are great for fast rendering, while Ideogram might be preferred for artistic control.
Automation at Scale: Plug this workflow into a larger pipeline to generate thousands of images from a corpus of multilingual prompts, useful for media agencies, games, or digital storytelling.

Whether you’re translating manga panels into scene visuals or prototyping UI imagery from Japanese product descriptions, this workflow gives you a fast, scalable, and intuitive way to bridge language and vision using generative AI.

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.