ideogram-performance-tuning

name	ideogram-performance-tuning
description	Optimize Ideogram API performance with caching, model selection, and parallel generation. Use when experiencing slow generation, implementing caching strategies, or optimizing throughput for Ideogram integrations. Trigger with phrases like "ideogram performance", "optimize ideogram", "ideogram latency", "ideogram caching", "ideogram slow", "ideogram speed".
allowed-tools	Read, Write, Edit
version	1.10.0
license	MIT
author	Jeremy Longshore <[e-mail]>
tags	["saas","ideogram","api","performance"]
compatibility	Designed for Claude Code, also compatible with Codex and OpenClaw

Ideogram Performance Tuning

Overview

Optimize Ideogram image generation for speed, cost, and throughput. Key levers: model and rendering speed selection, prompt-based caching, parallel generation with concurrency limits, and CDN delivery of generated assets.

Performance Baselines

Model / Speed	Typical Latency	Relative Cost	Quality
V_2_TURBO	3-6s	~$0.05/image	Good
V_2	8-15s	~$0.08/image	High
V3 FLASH	2-4s	Lowest	Draft
V3 TURBO	4-8s	Low	Good
V3 DEFAULT	8-15s	Standard	High
V3 QUALITY	15-25s	Premium	Highest

Instructions

Step 1: Speed Tiers by Use Case

const SPEED_CONFIGS = {
  // Preview / draft mode -- fastest, cheapest
  preview: {
    endpoint: "https://api.ideogram.ai/generate",
    model: "V_2_TURBO",
    note: "3-6s, good enough for iteration",
  },
  // Standard production -- balanced
  standard: {
    endpoint: "https://api.ideogram.ai/generate",
    model: "V_2",
    note: "8-15s, high quality for final assets",
  },
  // V3 with speed control
  v3_fast: {
    endpoint: "https://api.ideogram.ai/v1/ideogram-v3/generate",
    rendering_speed: "TURBO",
    note: "4-8s, V3 quality at faster speed",
  },
  : {
    : ,
    : ,
    : ,
  },
}  ;

 () {
   [tier];
}