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.
探索领先模型
Atlas Cloud 为您提供最新的行业领先创意模型。
峰值速度
最低成本
| 模态 | 描述 |
|---|---|
| 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 新功能 + 展示
将先进模型与 Atlas Cloud 的 GPU 加速平台相结合，为图像和视频生成提供无与伦比的速度、可扩展性和创意控制。
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
探索使用该模型家族可以构建的实际应用场景和工作流 — 从内容创作、自动化到生产级应用。
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.
模型对比
查看不同厂商的模型表现 — 对比性能、价格和独特优势，做出明智决策。
| 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 |
如何在 Atlas Cloud 上使用 ERNIE Image Models
几分钟即可上手 — 按照以下简单步骤，通过 Atlas Cloud 平台集成和部署模型。
创建 Atlas Cloud 账户
在 atlascloud.ai 注册并完成验证。新用户可获得免费额度，用于探索平台和测试模型。
为何在 Atlas Cloud 使用 ERNIE Image Models
将先进的 ERNIE Image Models 模型与 Atlas Cloud 的 GPU 加速平台相结合，提供无与伦比的性能、可扩展性和开发体验。
性能与灵活性
低延迟：
GPU 优化推理，实现实时响应。
统一 API：
一次集成，畅用 ERNIE Image Models、GPT、Gemini 和 DeepSeek。
透明定价：
按 Token 计费，支持 Serverless 模式。
企业与规模
开发者体验：
SDK、数据分析、微调工具和模板一应俱全。
可靠性：
99.99% 可用性、RBAC 权限控制、合规日志。
安全与合规：
SOC 2 Type II 认证、HIPAA 合规、美国数据主权。
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.
探索更多系列
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Grok-Imagine Models
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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
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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.
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Nano Banana2 Models
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Seedream5.0 Models
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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.
