GPT Image 2 Models
GPT Image 2 is a state-of-the-art multimodal foundation model engineered for exceptional text-to-image generation with unprecedented photorealism and creative versatility. Developed by OpenAI as the evolution of the DALL-E lineage, it transforms detailed natural language descriptions into hyper-realistic imagery at up to 4K resolution. With proprietary "Neural Rendering Engine" technology for precise visual control, GPT Image 2 delivers studio-quality results with accurate anatomy, lighting, and composition—making it the premier AI tool for professional creators, enterprises, and developers demanding production-ready visual assets.
สำรวจโมเดลชั้นนำ
Atlas Cloud มอบโมเดลสร้างสรรค์ล่าสุดที่นำหน้าในอุตสาหกรรมให้กับคุณ
ความเร็วสูงสุด
ต้นทุนต่ำที่สุด
| รูปแบบ | คำอธิบาย |
|---|---|
| GPT Image-1 T2I API(Text to Image) | GPT Image-1 Text to Image API ช่วยให้นักพัฒนาสามารถแปลงข้อความคำสั่งให้เป็นภาพที่สมจริงและน่าทึ่งพร้อมรายละเอียดที่ยอดเยี่ยม ด้วยการรวมความสามารถในการใช้เหตุผลของ GPT-4 Turbo เข้ากับการสังเคราะห์ภาพระดับ DALL·E ทำให้สามารถปฏิบัติตามคำสั่งได้ดีเยี่ยมในระดับชั้นนำของอุตสาหกรรม และมีความสามารถในการจัดองค์ประกอบภาพที่ซับซ้อนสำหรับการผลิตภาพระดับมืออาชีพ |
| GPT Image-1 Edit API(Image to Image) | GPT Image-1 Edit API ช่วยให้นักพัฒนาสามารถแปลงรูปภาพที่มีอยู่ให้กลายเป็นผลงานชิ้นเอกที่ได้รับการปรับแต่งหรือสร้างสรรค์ขึ้นใหม่ด้วยความสอดคล้องที่ไร้รอยต่อ การใช้ความเข้าใจแบบพหุโมดัลจะช่วยสร้างการถ่ายโอนสไตล์ที่แม่นยำ องค์ประกอบตามบริบท และการปรับเปลี่ยนเฉพาะจุดสำหรับการวนซ้ำแอสเซทระดับมืออาชีพ |
| GPT Image-1.5 T2I API(Text to Image) | The GPT Image-1.5 Text to Image API empowers developers to transform text prompts into high-quality visuals at optimized cost. By leveraging GPT-powered architecture, it delivers strong prompt understanding and visual fidelity for balanced production workflows. |
| GPT Image-1.5 Edit API(Image to Image) | The GPT Image-1.5 Edit API empowers developers to refine existing assets with precise modifications. By supporting input_fidelity control, it enables fine-tuned adjustments while preserving essential elements like faces and logos. |
| GPT Image-1 Mini T2I API(Text to Image) | The GPT Image-1 Mini Text to Image API empowers developers with the most cost-efficient image generation in the family. By leveraging GPT-5 architecture, it delivers professional-grade results at the lowest cost-per-image for high-volume content production. |
| GPT Image-1 Mini Edit API(Image to Image) | The GPT Image-1 Mini Edit API empowers developers to transform existing images with streamlined editing capabilities. By providing essential editing functions at minimal cost, it enables rapid iteration and content production workflows. |
ฟีเจอร์ใหม่ของ GPT Image 2 Models + โชว์เคส
การผสมผสานโมเดลขั้นสูงกับแพลตฟอร์มเร่งความเร็ว GPU ของ Atlas Cloud มอบความเร็ว ความสามารถในการปรับขนาด และการควบคุมเชิงสร้างสรรค์ที่ไม่มีใครเทียบได้สำหรับการสร้างภาพและวิดีโอ
Photorealistic Rendering
GPT Image 2 is being discussed in the context of marketing graphics, product visuals, social content, mockups, and other tasks where accuracy matters as much as visual quality — a shift from earlier image models that were mainly judged on artistic style. Dreamina Early test outputs show a meaningful step up in material fidelity, lighting coherence, and scene realism over GPT Image 1.5.
Near-Perfect Text-in-Image
The text rendering improvement alone opens up use cases that weren't practical before — including marketing automation to generate social media graphics, ad creatives, and email headers with accurate text at scale, and document generation.
UI & Interface Mockups
Early testers specifically called out GPT Image 2's ability to generate UI mockups and app interfaces with correctly spelled button text and clean layout structure as a standout capability.
Advanced Composition Control
GPT Image 2 is expected to substantially improve on the multi-object placement issues that affect GPT Image 1.5. Complex scene generation has improved significantly — images with multiple objects or layers no longer suffer from occlusion or misplacement issues.
Character Consistency
Maintaining a consistent character identity across multiple image generations is one of the most-requested capabilities. Character consistency is expected to be formally supported in GPT Image 2.
Multilingual Text Support
CJK character rendering quality received high praise during gray-scale testing, with accurate glyphs and clear strokes — a notable improvement over GPT Image 1.5's documented weakness with non-Latin scripts.
สิ่งที่คุณทำได้กับ GPT Image 2 Models
ค้นพบกรณีการใช้งานจริงและเวิร์กโฟลว์ที่คุณสามารถสร้างด้วยตระกูลโมเดลนี้ — ตั้งแต่การสร้างเนื้อหาและระบบอัตโนมัติไปจนถึงแอปพลิเคชันระดับโปรดักชัน
Professional Advertising & Marketing
GPT Image 2 is expected to be particularly strong for marketing automation — generating social media graphics, ad creatives, and email headers with accurate text, at scale. MindStudio Combined with near-perfect prompt adherence and improved photorealism, it targets production-ready campaign assets without photoshoots.
E-Commerce & Product Visualization
GPT Image 2 is being discussed heavily in the context of product visuals and social content where accuracy matters as much as visual quality. Dreamina The character consistency and image preservation improvements make it well-suited for scaling product catalogs, generating lifestyle imagery, and producing consistent variant sets.
UI Mockups & Product Design
UI mockups and app interfaces — with correctly spelled button text and clean layout structure — are among the use cases early testers specifically highlighted. Dzine Product teams and designers can use GPT Image 2 for rapid concept mockups, landing page visuals, and presentation assets.
Architectural & Interior Visualization
Architectural and interior renders with improved depth and material realism are among the expected strong suits of GPT Image 2. Dzine The photorealism and composition improvements make it a practical tool for design presentations and property marketing.
เปรียบเทียบโมเดล
ดูว่าโมเดลจากผู้ให้บริการต่างๆ เปรียบเทียบกันอย่างไร — เปรียบเทียบประสิทธิภาพ ราคา และจุดแข็งเฉพาะตัวเพื่อตัดสินใจอย่างมีข้อมูล
| Model | Reference Image Limit | Output Num | Resolution | Aspect Ratio |
|---|---|---|---|---|
| GPT Image-2 | - (TBC) | - (TBC) | Up to 2048×2048 (estimated) | - (TBC) |
| GPT Image-1.5 | 10 | 1 | 1024×1024, 1024×1536, 1536×1024 | 1:1, 3:2, 2:3 |
| GPT Image-1 | 4 | 1~10 | 1024×1024, 1024×1536, 1536×1024 | 1:1, 3:2, 2:3 |
| GPT Image-1 Mini | 4 | 1~10 | 1024×1024, 1024×1536, 1536×1024 | 1:1, 3:2, 2:3 |
How to Use GPT Image 2 Models on Atlas Cloud
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ทำไมต้องใช้ GPT Image 2 Models บน Atlas Cloud
การรวมโมเดล GPT Image 2 Models ขั้นสูงเข้ากับแพลตฟอร์มที่เร่งด้วย GPU ของ Atlas Cloud ให้ประสิทธิภาพ ความสามารถในการขยาย และประสบการณ์นักพัฒนาที่ไม่มีใครเทียบได้
ประสิทธิภาพและความยืดหยุ่น
เวลาแฝงต่ำ:
inference ที่ปรับแต่ง GPU เพื่อการตอบสนองแบบเรียลไทม์
API แบบรวมศูนย์:
รัน GPT Image 2 Models, GPT, Gemini และ DeepSeek ด้วยการเชื่อมต่อเดียว
ราคาโปร่งใส:
ชำระเงินต่อโทเค็นที่คาดเดาได้พร้อมตัวเลือก serverless
องค์กรและขนาด
ประสบการณ์นักพัฒนา:
SDK, การวิเคราะห์, เครื่องมือปรับแต่ง และเทมเพลต
ความน่าเชื่อถือ:
ความพร้อมใช้งาน 99.99%, RBAC และการบันทึกที่พร้อมสำหรับการปฏิบัติตาม
ความปลอดภัยและการปฏิบัติตาม:
SOC 2 Type II, สอดคล้อง HIPAA, อธิปไตยข้อมูลในสหรัฐอเมริกา
FAQ
GPT Image 2 has not been officially released. Based on OpenAI's historical release cadence — typically 2–4 weeks from LM Arena anonymous testing to official release — and the DALL-E shutdown deadline of May 12, the most likely release window is late April to mid-May 2026. Apiyi.com Blog Once released, access will likely follow OpenAI's standard rollout: ChatGPT subscribers first, followed by API availability for developers 2–4 weeks later. Monitor the official OpenAI changelog at developers.openai.com/api/docs/changelog for the announcement.
No. GPT Image 2 is the successor to GPT Image 1.5, not DALL-E. OpenAI has moved away from the DALL-E branding entirely — both DALL-E 2 and DALL-E 3 are being shut down on May 12, 2026. The GPT Image family uses an autoregressive architecture built natively inside the language model, which is fundamentally different from the diffusion-based approach DALL-E used.
GPT Image 2 will likely be available to free ChatGPT users with daily generation limits, just like GPT Image 1.5 today. Full access will require a ChatGPT subscription.
Text rendering is the most notable improvement. Testers described text accuracy as "near-perfect" and "finally usable" — appearing correctly on signs, product labels, UI mockups, and even comic book speech bubbles. Watch faces showed correctly positioned hands matching the time described in the prompt. Fello AI This is a significant leap from GPT Image 1.5's ~95% accuracy.
These are the codenames for three anonymous image models that appeared on LM Arena on April 4, 2026. They are widely believed to be test variants of GPT Image 2. All three were removed from the platform within hours, following the same pattern OpenAI used when testing GPT Image 1.5 under the codenames "Chestnut" and "Hazelnut" in December 2025.
สำรวจกลุ่มเพิ่มเติม
Seedance 2.0 Models
Seedance 2.0（by Bytedance） is a multimodal video generation model that redefines "controllable creation," moving beyond the limitations of text or start/end frames. It supports quad-modal inputs—text, image, video, and audio—and introduces an industry-leading "Universal Reference" system. By precisely replicating the composition, camera movement, and character actions from reference assets, Seedance 2.0 solves critical issues with character consistency and physical coherence, empowering creators to act as true "directors" with deep control over their output.
Grok-Imagine Models
Grok Imagine Image Quality is xAI's latest AI image generation model, delivering studio-grade visuals with up to 2K resolution and razor-sharp detail. It offers best-in-class text rendering across multiple languages, photorealistic outputs with natural lighting, rich textures, and believable physics, plus tighter prompt following and image editing with reference inputs for precise creative control. Ideal for hero images, ad creatives, product renders, and brand-grade visuals.
Gemini Omni
Gemini Omni (by Google DeepMind) is a video generation and editing model launched on May 20, 2026 at Google I/O that redefines the standard for "reasoning-driven creation," built specifically to solve the core challenge of AI video: making output that actually understands what you mean, not just what you type. It fuses Gemini's reasoning engine with generative capability, accepting any mix of images, text, video, and audio to produce consistent, knowledge-grounded output. Unlike models that start from scratch each time, Omni lets you edit through natural conversation — swapping objects, rewriting scenes, shifting styles — while keeping physics, characters, and continuity intact across every turn.
GPT Image 2 Models
GPT Image 2 is a state-of-the-art multimodal foundation model engineered for exceptional text-to-image generation with unprecedented photorealism and creative versatility. Developed by OpenAI as the evolution of the DALL-E lineage, it transforms detailed natural language descriptions into hyper-realistic imagery at up to 4K resolution. With proprietary "Neural Rendering Engine" technology for precise visual control, GPT Image 2 delivers studio-quality results with accurate anatomy, lighting, and composition—making it the premier AI tool for professional creators, enterprises, and developers demanding production-ready visual assets.
Happy Horse 1.0
HappyHorse-1.0 is a unified multimodal AI video generation model that climbed to the top of the Artificial Analysis Video Arena blind-test leaderboard for both text-to-video and image-to-video generation. CNBC Alibaba Group confirmed ownership of HappyHorse, developed under its Alibaba Token Hub (ATH) business unit, where it leads benchmarks outperforming ByteDance's Seedance 2.0 and others. Caixin Global Led by Zhang Di — the former VP of Kuaishou who architected Kling AI — the 15-billion parameter model generates 1080p video with synchronized audio in a single pass using a unified transformer architecture that bypasses the multi-stage pipelines used by every major competitor.
Wan2.7 Models
Launching this March, Wan2.7 is the latest powerhouse in the Qwen ecosystem, delivering a massive upgrade in visual fidelity, audio synchronization, and motion consistency over version 2.6. This all-in-one AI video generator supports advanced features like first-and-last frame control, 3x3 grid synthesis, and instruction-based video editing. Outperforming competitors like Jimeng, Wan2.7 offers superior flexibility with support for real-person image inputs, up to five video references, and 1080P high-definition outputs spanning 2 to 15 seconds, making it the premier choice for professional digital storytelling and high-end content marketing.
Veo3.1 Models
Google DeepMind’s Veo 3.1 represents a paradigm shift in AI video generation, empowering creators with director-level narrative control and cinematic-grade audio quality that seamlessly integrates with its enhanced visual realism. By bridging the gap between imaginative concepts and photorealistic execution, this advanced model offers a transformative solution for a wide range of application scenarios, from professional filmmaking and high-end advertising to immersive digital content creation.
ERNIE Image Models
ERNIE-Image is an open-weight text-to-image model developed by the ERNIE-Image Team at Baidu, built on a single-stream Diffusion Transformer (DiT) with 8B parameters and paired with a lightweight Prompt Enhancer that rewrites short prompts into richer, more structured descriptions before passing them to the diffusion backbone. NYU Shanghai RITS Released on April 15, 2026 under the Apache 2.0 license, it transforms natural language descriptions into detailed imagery with particular strength in text rendering and structured layout generation. ERNIE-Image is designed not only for strong visual quality, but for controllability in practical generation scenarios where accurate content realization matters as much as aesthetics — making it well-suited for commercial posters, comics, multi-panel layouts, and other content creation tasks that require both visual quality and precise control.
GPT Image Models
The GPT Image Family is OpenAI's latest suite of multimodal image generation and editing models, built on the powerful GPT architecture. This family includes three tiers — GPT Image-1, GPT Image-1.5, and GPT Image-1 Mini — each available in both Text-to-Image and Image-to-Image variants. Combining GPT's world-class language understanding with DALL·E-class visual synthesis, these models deliver exceptional prompt adherence, photorealistic rendering, and creative versatility across illustration, photography, design, and visualization tasks. The series offers flexible pricing and quality tiers to match any workflow — from rapid prototyping and high-volume content production to professional-grade final deliverables. Whether you need ultra-fast iterations at minimal cost or maximum quality for brand campaigns, the GPT Image Family has a solution tailored to your needs.
Nano Banana2 Models
Nano Banana 2 (by Google), is a generative image model that perfectly balances lightning-fast rendering with exceptional visual quality. With an improved price-performance ratio, it achieves breakthrough micro-detail depiction, accurate native text rendering, and complex physical structure reconstruction. It serves as a highly efficient, commercial-grade visual production tool for developers, marketing teams, and content creators.
Seedream5.0 Models
Seedream 5.0, developed by ByteDance’s Jimeng AI, is a high-performance AI image generation model that integrates real-time search with intelligent reasoning. Purpose-built for time-sensitive content and complex visual logic, it excels at professional infographics, architectural design, and UI assistance. By blending live web insights with creative precision, Seedream 5.0 empowers commercial branding and marketing with a seamless, logic-driven workflow that turns sophisticated data into stunning, high-fidelity visuals.
Kling3.0 Models
Kuaishou’s flagship video generation suite, Kling 3.0, features two powerhouse models—Kling 3.0 (Upgraded from Kling 2.6) and Kling 3.0 Omni (Kling O3, Upgraded from Kling O1)—both offering high-fidelity native audio integration. While Kling 3.0 excels in intelligent cinematic storytelling, multilingual lip-syncing, and precision text rendering, Kling O3 sets a new standard for professional-grade subject consistency by supporting custom subjects and voice clones derived from video or image inputs. Together, these models provide a comprehensive solution tailored for cinematic narratives, global marketing campaigns, social media content, and digital skit production.
