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ChatGPT Images 2.0

OpenAI 제공

ChatGPT Images 2.0 by OpenAI generates images up to 2K with a thinking mode that plans composition before drawing, multi-image batches that keep characters and objects consistent, and accurate multilingual text rendering.

Text-to-imageImage-to-imageThinking modeMulti-image batchesText renderingImage editing

ChatGPT Images 2.0

OpenAI 제공

주요 기능

ChatGPT Images 2.0가 다른 AI 모델과 차별화되는 점.

Native reasoning before drawing

Thinking mode plans composition, verifies text, and self-corrects before finalizing the image. It handles complex prompts more reliably than instant mode.

Multi-image batches with continuity

Generate up to 8 images from one prompt with the same characters, props, and visual style preserved across the set, suited for storyboards, ad variations, and sequential scenes.

Up to 2K across aspect ratios

Output up to 2K with flexible aspect ratios from wide cinematic frames to tall vertical posts, suitable for print, social, and product surfaces.

Multilingual text in images

Renders legible, correctly spelled text across multiple languages, suited for diagrams, infographics, charts, posters, comics, and packaging.

Stronger instruction following

Honors specific counts, spatial relationships, and multi-element compositions with the precision needed for design briefs and client mockups.

Conversational editing

Edit existing images by describing changes, iterate on details, fix specific elements, or apply broad style transformations without leaving the chat.

Movie poster reading "Echoes of the Tide" in elegant serif, stormy coastline, moonlightTry now

기술 사양

주요 스펙과 기능을 한눈에 확인하세요.

Up to 2K

Resolution

High-resolution output across aspect ratios

Up to 8

Batch size

Multi-image generation with character continuity

Instant + Thinking

Modes

Fast generation or reasoning-augmented quality

Arena rank

Image Arena leaderboard at launch (April 2026)

활용 사례

크리에이터와 기업이 Morphic에서 ChatGPT Images 2.0를 활용하는 방법.

Storyboards and sequential scenes

Generate consistent characters and locations across up to 8 frames, suited for ad storyboards, comics, and narrative sequences.

Diagrams, infographics, and charts

Text-heavy visuals with structured layouts and legible labels, suited for educational content and presentations.

Posters and marketing visuals

Campaign posters with embedded copy, multilingual signage, and product imagery that needs accurate typography.

UI mockups and web screenshots

Interface mockups with readable text, button labels, and structured layouts for design exploration.

Product packaging concepts

Packaging with accurate brand names, ingredient lists, and label copy for concept development and client review.

Multilingual localization

Generate the same visual with text translated and adapted across languages, useful for international campaign work.

프롬프트 예시

이 프롬프트로 시작하세요. Morphic에 붙여넣고 생성하세요.

Poster with title text

Movie poster reading 'Midnight in Tokyo', neon alley, rim light

Infographic

Infographic of 4 espresso brewing steps, line icons, clean layout

Packaging mockup

Coffee bag label 'Bean Street Roast', kraft paper, soft daylight

자주 묻는 질문

What is ChatGPT Images 2.0?

ChatGPT Images 2.0 (API model name gpt-image-2) is OpenAI's image generation model released April 2026. It adds native reasoning, output up to 2K, and multi-image batches with character continuity.

What is thinking mode?

Thinking mode lets the model plan composition, verify text accuracy, and self-correct before producing the final image. It is suited for complex prompts where instant mode struggles.

How is it different from GPT Image 1.5?

ChatGPT Images 2.0 adds native reasoning, multi-image batches of up to 8 frames with consistent characters, output up to 2K, and stronger multilingual text rendering.

Can it generate multiple consistent images at once?

Yes. ChatGPT Images 2.0 produces up to 8 images from a single prompt with the same characters, objects, and style preserved across the set.

When should I use ChatGPT Images 2.0 vs Nano Banana or Flux?

Use ChatGPT Images 2.0 for text-heavy work, multi-image continuity, and complex compositions. Use Nano Banana for fast iteration with real-world grounding. Use Flux for style versatility and photorealistic range.