Parameter GuideGPT Image

GPT Image Quality (--q) Guide

This page covers the quality parameter (--q) in GPT Image — what each quality level produces, how it affects generation time and token cost, and when to use low versus high settings. Understanding this parameter helps you balance output fidelity against speed and cost on every generation.

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Bahasa IndonesiaHalaman ini membahas parameter kualitas (--q) di GPT Image — apa yang dihasilkan setiap level kualitas, bagaimana pengaruhnya terhadap waktu pembuatan dan biaya token, serta kapan menggunakan pengaturan rendah versus tinggi. Memahami parameter ini membantu Anda menyeimbangkan ketepatan output dengan kecepatan dan biaya di setiap pembuatan.

日本語このページでは、GPT Imageのクオリティパラメータ(--q)を解説します。各品質レベルが生成する結果、生成時間とトークンコストへの影響、低設定と高設定の使い分けについて説明します。このパラメータを理解することで、すべての生成において出力の忠実度、速度、コストのバランスを最適化できます。

한국어이 페이지에서는 GPT Image의 quality 파라미터(--q)를 다룹니다. 각 품질 수준이 생성하는 결과물, 생성 시간과 토큰 비용에 미치는 영향, 낮은 설정과 높은 설정을 언제 사용해야 하는지를 설명합니다. 이 파라미터를 이해하면 모든 생성에서 출력 품질, 속도, 비용의 균형을 맞출 수 있습니다.

PolskiTa strona omawia parametr jakości (--q) w GPT Image — co produkuje każdy poziom jakości, jak wpływa na czas generacji i koszt tokenów, oraz kiedy używać niskich i wysokich ustawień. Zrozumienie tego parametru pomaga znaleźć równowagę między wiernością wyjściową a szybkością i kosztem przy każdej generacji.

PortuguêsEsta página cobre o parâmetro de qualidade (--q) no GPT Image — o que cada nível de qualidade produz, como afeta o tempo de geração e o custo de tokens, e quando usar configurações baixas versus altas. Entender esse parâmetro ajuda a equilibrar a fidelidade de saída com velocidade e custo em cada geração.

РусскийНа этой странице рассматривается параметр качества (--q) в GPT Image — что производит каждый уровень качества, как он влияет на время генерации и стоимость токенов, и когда использовать низкие или высокие значения. Понимание этого параметра помогает находить баланс между точностью вывода, скоростью и стоимостью при каждой генерации.

TürkçeBu sayfa, GPT Image'daki kalite parametresini (--q) kapsamaktadır: her kalite seviyesinin ne ürettiğini, oluşturma süresi ve token maliyetini nasıl etkilediğini ve düşük ile yüksek ayarların ne zaman kullanılacağını ele alır. Bu parametreyi anlamak, her üretimde çıktı kalitesi ile hız ve maliyet arasında denge kurmanıza yardımcı olur.

中文本页介绍GPT Image中的质量参数(--q)——每个质量级别的输出效果、对生成时间和令牌成本的影响,以及何时使用低质量与高质量设置。了解此参数有助于在每次生成时平衡输出保真度与速度和成本。

Values & Usage

Quality (--q): StandardStandard

Faster generation, good for iteration and testing

Quality (--q): High / HDHigh / HD

Better detail and consistency, recommended for final output

Quality (--q): Maximum / --q 2Maximum / --q 2

Highest quality available, slower but best results

Example Prompts

Demonstrating Quality (--q) at Standard — Faster generation, good for iteration and testing

beginner
Create a pixel art image of scenic composition featuring landscape. The composition should feel grand with sunset rim light. Use warm earth tones throughout. Every detail should be intentional — from the subject expression to the overall mood. The final result should look like a professional pixel art piece.

Demonstrating Quality (--q) at High / HD — Better detail and consistency, recommended for final output

beginner
Create a low poly image of scenic composition featuring landscape. The composition should feel intimate with neon ambient glow. Use analogous warm palette throughout. Every detail should be intentional — from the background atmosphere to the overall mood. The final result should look like a professional low poly piece.

Demonstrating Quality (--q) at Maximum / --q 2 — Highest quality available, slower but best results

intermediate
Create a art nouveau image of scenic composition featuring landscape. The composition should feel dramatic with moonlit scene. Use vibrant complementary colors throughout. Every detail should be intentional — from the foreground elements to the overall mood. The final result should look like a professional art nouveau piece.

Pro Tips

  • 1Start with the default Quality (--q) value and make small adjustments to understand how it affects your specific prompt style.
  • 2Different styles respond differently to Quality (--q) changes — what works for photorealistic may not work for anime or abstract.
  • 3Keep notes on which Quality (--q) values work best for your favorite prompt structures — this builds your personal GPT Image knowledge base.
  • 4When sharing prompts, always include your Quality (--q) setting — it can dramatically change results even with identical prompt text.
  • 5For batch generation, lock your Quality (--q) value to maintain consistency across an entire set of related images.

Common Mistakes

Using extreme Quality (--q) values without understanding the trade-offs — moderate values usually produce the most balanced results.
Assuming the same Quality (--q) value works for all styles — always test with your specific prompt before committing to a batch.
Changing Quality (--q) and other settings simultaneously — adjust one parameter at a time to understand each one's effect.

Frequently Asked Questions

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