From ideogram-pack
Optimizes Ideogram API costs with model selection for drafts vs finals, prompt caching, batch requests, and usage tracking. Ideal for billing analysis and budget management.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin ideogram-packThis skill is limited to using the following tools:
Minimize Ideogram API spending by selecting the right model per task, caching identical prompts, batching images per call, and tracking credit burn rate. Ideogram bills per image generated at a flat rate that varies by model and rendering speed.
Optimizes Ideogram API image generation with model/speed selection, Node.js prompt caching, parallel requests, and performance baselines.
Tracks Gamma API credit usage for image generations using TypeScript CreditTracker; analyzes daily/monthly spending to optimize costs under budget constraints.
Guides Next.js Cache Components and Partial Prerendering (PPR): 'use cache' directives, cacheLife(), cacheTag(), revalidateTag() for caching, invalidation, static/dynamic optimization. Auto-activates on cacheComponents: true.
Share bugs, ideas, or general feedback.
Minimize Ideogram API spending by selecting the right model per task, caching identical prompts, batching images per call, and tracking credit burn rate. Ideogram bills per image generated at a flat rate that varies by model and rendering speed.
| Model / Speed | Approx. Cost per Image | Best For |
|---|---|---|
| V_2_TURBO | ~$0.05 | Drafts, iteration, testing |
| V_2 | ~$0.08 | Final production assets |
| V3 FLASH | ~$0.03-0.04 | Quick previews |
| V3 TURBO | ~$0.05 | Good quality at speed |
| V3 DEFAULT | ~$0.06-0.08 | Standard production |
| V3 QUALITY | ~$0.09+ | Premium deliverables |
| + Character ref | +$0.02-0.04 | Consistent character faces |
Prices approximate; check ideogram.ai/features/api-pricing for current rates.
// Draft with TURBO (cheap), finalize with V_2 (quality)
async function costEfficientGeneration(prompt: string, iterations = 5) {
// Phase 1: Generate drafts cheaply
const drafts = [];
for (let i = 0; i < iterations; i++) {
const result = await generateImage(prompt, { model: "V_2_TURBO" });
drafts.push(result);
}
// Cost: 5 x $0.05 = $0.25
// Phase 2: Pick best seed, regenerate at full quality
const bestSeed = await selectBestDraft(drafts); // manual or automated
const final = await generateImage(prompt, { model: "V_2", seed: bestSeed });
// Cost: 1 x $0.08 = $0.08
// Total: $0.33 instead of $0.40 (5 x V_2)
return final;
}
// Single API call for up to 4 images costs the same as 4 separate calls
// BUT saves latency (one round-trip instead of four)
async function generateVariations(prompt: string) {
const response = await fetch("https://api.ideogram.ai/generate", {
method: "POST",
headers: {
"Api-Key": process.env.IDEOGRAM_API_KEY!,
"Content-Type": "application/json",
},
body: JSON.stringify({
image_request: {
prompt,
model: "V_2_TURBO",
num_images: 4, // 4 images in one call
magic_prompt_option: "AUTO",
},
}),
});
const result = await response.json();
return result.data; // 4 image objects
}
import { createHash } from "crypto";
const cache = new Map<string, { url: string; seed: number; cachedAt: number }>();
const CACHE_TTL_MS = 7 * 24 * 60 * 60 * 1000; // 7 days
function promptKey(prompt: string, style: string, model: string): string {
return createHash("md5").update(`${prompt}:${style}:${model}`).digest("hex");
}
async function cachedGeneration(prompt: string, style = "AUTO", model = "V_2") {
const key = promptKey(prompt, style, model);
const cached = cache.get(key);
if (cached && Date.now() - cached.cachedAt < CACHE_TTL_MS) {
console.log("Cache hit -- saved one generation credit");
return cached;
}
const result = await generateImage(prompt, { style_type: style, model });
// Download and store locally before caching (URLs expire)
const localPath = await downloadImage(result.data[0].url);
cache.set(key, {
url: localPath,
seed: result.data[0].seed,
cachedAt: Date.now(),
});
return cache.get(key);
}
interface CostTracker {
totalImages: number;
totalCostUSD: number;
byModel: Record<string, { count: number; cost: number }>;
dailyBudgetUSD: number;
}
const tracker: CostTracker = {
totalImages: 0,
totalCostUSD: 0,
byModel: {},
dailyBudgetUSD: 10, // $10/day cap
};
const MODEL_COSTS: Record<string, number> = {
V_2_TURBO: 0.05,
V_2: 0.08,
V_2A: 0.04,
V_2A_TURBO: 0.025,
};
function trackGeneration(model: string, numImages: number) {
const costPerImage = MODEL_COSTS[model] ?? 0.08;
const cost = costPerImage * numImages;
tracker.totalImages += numImages;
tracker.totalCostUSD += cost;
if (!tracker.byModel[model]) tracker.byModel[model] = { count: 0, cost: 0 };
tracker.byModel[model].count += numImages;
tracker.byModel[model].cost += cost;
// Budget alert
if (tracker.totalCostUSD > tracker.dailyBudgetUSD * 0.8) {
console.warn(`Budget warning: $${tracker.totalCostUSD.toFixed(2)} of $${tracker.dailyBudgetUSD}/day`);
}
if (tracker.totalCostUSD > tracker.dailyBudgetUSD) {
throw new Error(`Daily budget exceeded: $${tracker.totalCostUSD.toFixed(2)}`);
}
}
function costReport() {
console.log("=== Ideogram Cost Report ===");
console.log(`Total images: ${tracker.totalImages}`);
console.log(`Total cost: $${tracker.totalCostUSD.toFixed(2)}`);
for (const [model, data] of Object.entries(tracker.byModel)) {
console.log(` ${model}: ${data.count} images, $${data.cost.toFixed(2)}`);
}
}
Ideogram Dashboard > Settings > API Beta > Billing:
Recommended settings:
Top-up Balance: $20.00 (default)
Minimum Threshold: $10.00 (default)
Conservative (small projects):
Top-up Balance: $10.00
Minimum Threshold: $5.00
Enterprise:
Contact partnership@ideogram.ai for volume pricing
1M+ images/month for custom rates
num_images: 4 where possible| Issue | Cause | Solution |
|---|---|---|
| 402 credits exhausted | Balance depleted | Top up in dashboard, check auto top-up |
| Regenerating same images | No cache | Cache by prompt hash |
| High daily cost | Using V_2 for everything | Draft with TURBO, finalize with V_2 |
| Unexpected charges | High-res for thumbnails | Match model to use case |
For architecture patterns, see ideogram-reference-architecture.