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.
주요 모델 탐색
Atlas Cloud는 업계 최고의 최신 크리에이티브 모델을 제공합니다.
최고 속도
최저 비용
| 모달리티 | 설명 |
|---|---|
| ERNIE-Image API (Text To Image) | The flagship quality-focused model. The SFT variant runs at guidance scale 4.0 with 50 inference steps for maximum quality 24-7 Press Release — optimized for final production assets including posters, editorial graphics, and commercial layouts. |
| ERNIE-Image Turbo API (Text To Image) | The Turbo variant, optimized through DMD (Diffusion Model Distillation) and reinforcement learning, compresses inference steps from 50 to 8, achieving 6x+ speed improvement while maintaining high-quality output. Stable Learn Ideal for rapid iteration and high-volume workflows. |
ERNIE Image Models 새로운 기능 + 쇼케이스
고급 모델과 Atlas Cloud의 GPU 가속 플랫폼을 결합하여 이미지 및 비디오 생성에서 비할 데 없는 속도, 확장성 및 창의적 제어를 제공합니다.
Text-Heavy Visual Content with ERNIE-Image API
ERNIE-Image leads the open-source field with a LongTextBench score of 0.9733 — rendering accurate text inside images including comic speech bubbles, poster headlines, infographic labels, and UI mockup copy. If your use case requires legible, correctly-spelled text baked into the image, ERNIE-Image is the clear leader.
Structured Layout Generation with ERNIE-Image API
The codebase exposes generation, edit, composite, and upscale primitives so designers can centralize an asset pipeline. Let's Data Science By understanding spatial relationships and grid-based arrangements, it generates coherent multi-panel sequential artwork and formatted designs.
Bilingual Creative Expression with ERNIE-Image API
Both English and Chinese prompts are natively supported through the same encoder pipeline 24-7 Press Release, capturing cultural nuances and idiomatic expressions across languages for authentic visual storytelling.
Commercial Poster and Marketing Asset Creation with ERNIE-Image API
ERNIE-Image generates print-ready marketing materials with embedded typography, product placements, and professional layouts. For creatives and product teams, ERNIE-Image lowers the barrier to production-grade poster, comic, storyboard, and UI asset generation without license friction.
What You Can Do with ERNIE-Image
이 모델 패밀리로 구축할 수 있는 실용적인 사용 사례와 워크플로를 발견하세요 — 콘텐츠 제작과 자동화부터 프로덕션급 애플리케이션까지.
Marketing and Advertising Production
Generate campaign-ready posters, banners, and promotional materials with embedded text, product visuals, and professional layouts at high throughput — suitable for both quick drafts (Turbo) and final assets (Standard).
Publishing and Editorial Content
Create book covers, magazine illustrations, and editorial graphics with precise typography and artistic consistency. The industry-leading text rendering makes it ideal for text-heavy publication designs.
Comic and Manga Creation
ERNIE-Image lowers the barrier to production-grade comic, storyboard, and sequential art generation Let's Data Science with consistent character representation and integrated dialogue — streamlining production for independent creators and studios.
UI/UX and Product Mockups
Generate realistic application screenshots, website mockups, and interface designs with readable text elements and coherent layout structures for presentation and prototyping.
Educational and Infographic Content
ERNIE-Image performs strongly on complex instruction following and text rendering GitHub, making it well-suited for visually engaging educational materials, data visualizations, and explainer graphics combining imagery with clear, legible annotations.
Game Development and Concept Art
Develop character designs, environment concepts, and promotional artwork with cinematic quality and consistent style — supporting both indie and professional production pipelines.
모델 비교
다양한 프로바이더의 모델 비교 — 성능, 가격, 고유한 강점을 비교하여 현명한 선택을 하세요.
| Model | Reference Image Limit | Output Num | Resolution | Aspect Ratio |
|---|---|---|---|---|
| ERNIE-Image | 0 (T2I) | 1–8 | 1024×1024 | 1:1 |
| ERNIE-Image Turbo | 0 (T2I) | 1–8 | 1024×1024 | 1:1 |
| Qwen-Image | 3 | 1–6 | 512P~2K | Width[512, 2048]px; Height[512, 2048]px |
| Flux.1 | 1 | 1 | 256P~4K | Width[256, 4096]px; Height[256, 4096]px |
| Seedream 5.0 | 14 | 1~15 | 2K~4K+ | 1:1 3:2 2:3 3:4 4:3 4:5 5:4 9:16 16:9 21:9 |
Atlas Cloud에서 ERNIE Image Models 사용하는 방법
몇 분 만에 시작하세요 — 간단한 단계를 따라 Atlas Cloud 플랫폼을 통해 모델을 통합하고 배포하세요.
Atlas Cloud 계정 생성
atlascloud.ai에서 가입하고 인증을 완료하세요. 신규 사용자는 플랫폼 탐색과 모델 테스트를 위한 무료 크레딧을 받습니다.
Atlas Cloud에서 ERNIE Image Models을(를) 사용하는 이유
고급 ERNIE Image Models 모델과 Atlas Cloud의 GPU 가속 플랫폼을 결합하여 비교할 수 없는 성능, 확장성 및 개발자 경험을 제공합니다.
성능 및 유연성
낮은 지연 시간:
실시간 추론을 위한 GPU 최적화 추론.
통합 API:
하나의 통합으로 ERNIE Image Models, GPT, Gemini 및 DeepSeek를 실행합니다.
투명한 가격:
Serverless 옵션을 포함한 예측 가능한 token당 청구.
엔터프라이즈 및 확장
개발자 경험:
SDK, 분석, 파인튜닝 도구 및 템플릿.
신뢰성:
99.99% 가동 시간, RBAC 및 규정 준수 로깅.
보안 및 규정 준수:
SOC 2 Type II, HIPAA 준수, 미국 내 데이터 주권.
FAQ
A: ERNIE-Image achieves top-tier image rendering on consumer-grade GPUs. It excels in following complex instructions and multi-language text rendering, with comprehensive capabilities comparable to top-tier closed-source models. CnTechPost Its particular strengths in text rendering (LongTextBench 0.9733) and structured layout generation for comics, posters, and infographics set it apart from general-purpose open models.
A: Both English and Chinese text rendering score above 0.96 on LongTextBench. FLUX.2 collapses in Chinese scenarios (scoring 0.2183), while ERNIE-Image remains stable Stable Learn — handling Simplified Chinese, Traditional Chinese, and mixed bilingual content with high accuracy.
Yes. ERNIE-Image is released under the Apache 2.0 license GitHub, which permits commercial use, modification, and distribution. Generated images can be used in advertising, merchandise, publications, and commercial applications.
더 많은 패밀리 탐색
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.
