





Qwen-Image, a lightweight 7B foundation model by Alibaba, transforms long-form prompts up to 1,000 tokens into stunning native 2K (2048x2048) resolution images. It excels in Chinese text rendering, accurately handling complex layouts and classical scripts, making it the premier AI tool for high-end graphic design and cross-cultural content creation.
Atlas Cloud 为您提供最新的行业领先创意模型。
Atlas Cloud 为您提供业界领先的最新创意模型。

Create and transform images and videos from text, images, or existing clips in one unified model suite.

Maintain photorealistic detail across edits and animation.

Turn a single photo into smooth, coherent video with realistic motion and timing.

Edit with prompts, sketches, or styles at object level.

Understand English, Chinese, and more equally well.

Fast, cost-efficient, and API-ready for scale.
最低成本
| 模态 | 描述 |
|---|---|
| Qwen-Image T2I Max API(Text To Image) | Qwen-Image T2I Max API 赋能创作者将复杂的文本提示转化为超高端、高保真的视觉效果。通过利用其最大处理深度来实现丰富的细节和艺术复杂性,它生成了专为奢侈品牌、高端广告和专业数字艺术优化的工作室级图像。 |
| Qwen-Image T2I Plus API(Text To Image) | Qwen-Image T2I Plus API 赋能开发者以卓越的效率将创意转化为生动、高分辨率的图像。通过平衡快速生成与卓越的审美一致性,它能生成针对数字营销、网页设计和大批量资产生产优化的精美视觉内容。 |
| Qwen-Image Edit Plus 20251215 API(Image To Image) | Qwen-Image Edit Plus 20251215 API 能够让用户通过精确引导的视觉修改来转换现有图像。通过利用 2025 年最新的架构更新进行细致的风格迁移和对象操作,它生成的无缝编辑资产专为迭代原型设计和高级后期制作进行了优化。 |
| Qwen-Image Edit Plus API(Image To Image) | Qwen-Image Edit Plus API 赋能设计师将源图像转化为定制的杰作。通过提供对结构完整性和风格叠加的增强控制,它能生成经过优化的精致视觉效果,适用于专业修图和复杂的、符合品牌调性的创意修改。 |
| Qwen-Image Edit API(Image To Image) | Qwen-Image Edit API 赋能开发者高效地将静态图像转化为焕然一新的视觉概念。通过提供快速图像到图像转换的核心工具,它生成的连贯结果针对自动化内容本地化和快速周转的设计任务进行了优化。 |
| Qwen Image T2I API(Text To Image) | Qwen Image T2I API 利用其庞大的 20B MMDiT 基础模型,赋能创新者将复杂的描述转化为超逼真的视觉效果。通过利用深度多模态推理和扩散 Transformer,它生成了专为大规模企业解决方案和尖端视觉研究优化的行业领先图像。 |
| Qwen Image Edit API(Image To Image) | Qwen Image Edit API 凭借其强大的 20B MMDiT 架构,赋能艺术家将参考图像转化为复杂的新形态。通过将先进的多模态理解应用于图像到图像任务,它能生成极其连贯的编辑效果,专门针对复杂的建筑可视化和高精度创意工作流进行了优化。 |
| Z-Image Turbo API(Text To Image) | Z-Image Turbo API 赋能敏捷团队,以闪电般的低延迟将提示词转化为高质量图像。通过在不牺牲视觉清晰度的情况下优先考虑推理速度,它能生成针对实时应用、实时社交媒体互动和高频内容实验优化的即时结果。 |
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。

Qwen-Image API 支持高保真解剖渲染,能够深度捕捉逼真的人类特征和皮肤纹理。通过在提示词中优化光线漫射和自然肌肉运动,用户可以根据任何文本描述精确生成照片级逼真的人像。它是专业时尚摄影、数字虚拟化身和电影级角色设计的终极解决方案。

Qwen-Image API 支持微观纹理合成,能够深度还原自然界错综复杂的细节。通过描述超精细的环境元素和光照条件,用户可以精确渲染精致的植被、大气效果和有机表面。它是高清风景艺术、自然纪录片和写实环境叙事的终极解决方案。

Qwen-Image API 支持复杂的排版布局,能够将精准的文本元素深度融合到生成的视觉内容中。利用其 1K token 的输入能力,用户可以精准渲染多字体文本和全篇古籍插画,且毫无失真。它是专业海报设计、品牌营销素材和精确图表生成的终极解决方案。

Qwen-Image API 支持高级身份保持功能,可在连续图像生成中深度维持视觉连贯性。通过在提示词中定义核心属性和参考帧,用户可以在整个项目中精确复制面部特征和风格特质。这是连载叙事、统一品牌吉祥物和角色驱动型创意活动的终极解决方案。

Qwen-Image API 支持无缝 LoRA 权重集成,以深度定制满足特定艺术或品牌要求的美学输出。通过切换专用风格模块或微调后的角色权重,用户能够以极小的开销精确实现小众视觉语言。这是特定工作室工作流、独特艺术签名和快速风格适应的终极解决方案。

Qwen-Image API 支持精确的材质建模,以深度可视化前沿的产品概念和复杂的结构原型。通过指定表面处理、光线反射和人体工学细节,用户可以精确生成 2K 分辨率的专业级工业渲染图。它是汽车设计、消费电子原型制作和高影响力产品营销的终极解决方案。

Qwen-Image API 支持严谨的空间逻辑,能够深度理解复杂的 3D 透视和多物体结构布局。通过利用其原生 2K 渲染引擎处理复杂的几何提示词(prompts),用户可以精准生成具有完美消失点和景深的图像。这是建筑可视化、室内设计规划和高级技术插图的终极解决方案。
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。
Qwen-Image API 使创作者和设计师能够以原生 2K 分辨率 (2048x2048) 生成超高清视觉效果。凭借其高效的 7B 架构,该 API 能够呈现惊人的清晰度,具有逼真的光照、复杂的皮肤纹理和电影般的景深。非常适合需要毫不妥协的细节和宏大规模的高端品牌推广、时尚作品集和专业数字艺术。
对于内容丰富的视觉效果,Qwen-Image API 可以在复杂的布局和多种字体风格中生成准确的排版。它擅长在单幅作品中以像素级的精度呈现复杂的汉字和全文古典插图。此用例适合寻求无缝、无误图文集成的营销专家、信息图表设计师和文化创作者。
Qwen-Image API 允许开发者将长达 1,000 个 token 的长篇、多层次描述转化为连贯的视觉叙事。通过处理密集的创意意图,即使在最复杂的提示词(prompt)中,它也能保持结构完整性和主题一致性。该工具由先进的 7B 视觉推理驱动,非常适合故事板艺术家、工业设计师以及叙事导向型社交媒体内容的创作。
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。
| 模型 | 参考图像限制 | 输出数量 | 分辨率 | 纵横比 |
|---|---|---|---|---|
| Qwen-Image | 3 | 1-6 | 512P~2K | Width[512, 2048]px; Height[512, 2048]px |
| Qwen image | 1 | 1 | 1K | 1:1 |
| Flux.1 | 1 | 1 | 256P~4K | Width[256, 4096]px; Height[256, 4096]px |
| Seedream 5.0 Lite | 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 |
| Nano Banana 2 | 14 | 1 | 4K, 2K, 1K | 1:1 3:2 2:3 3:4 4:3 4:5 5:4 9:16 16:9 21:9 |
| Wan 2.6 I2I(Image To Image) | 4 | 1 | 580P~1080P+ | 1:1 3:2 2:3 3:4 4:3 4:5 5:4 9:16 16:9 21:9 9:21 |
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。
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。
将先进的 Qwen 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。
低延迟:
GPU 优化推理,实现实时响应。
统一 API:
一次集成,畅用 Qwen Image Models、GPT、Gemini 和 DeepSeek。
透明定价:
按 Token 计费,支持 Serverless 模式。
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。
Qwen-Image 采用了最新的 7B 轻量级架构,针对原生 2K 渲染和 1K Token 提示词进行了优化。相比之下,Qwen image 指的是经典的 20B MMDiT 基础模型,专为高负载多模态推理和高精度研究任务而设计。
Qwen-Image 支持原生 2K 分辨率 (2048×2048)。与依赖放大技术的模型不同,它直接从基础架构生成高保真细节,以确保像素级清晰度。
它是中文文本渲染领域的市场领导者。该模型能准确处理复杂的排版、多样的字体风格,甚至能以零字符失真的精度处理全篇文言文。
7B 架构在旗舰级性能和闪电般的推理速度之间提供了最佳平衡。它为专业设计工作流程和海量内容生产提供了一种经济高效的解决方案。
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.
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.
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.
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.
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.
GLM is a cutting-edge LLM series by Z.ai (Zhipu AI) featuring GLM-5, GLM-4.7, and GLM-4.6. Engineered for complex systems and long-horizon agentic tasks, GLM-5 outperforms top-tier closed-source models in elite benchmarks like Humanity’s Last Exam and BrowseComp. While GLM-4.7 specializes in reasoning, coding, and real-world intelligent agents, the entire GLM suite is fast, smart, and reliable, making it the ultimate tool for building websites, analyzing data, and delivering instant, high-quality answers for any professional workflow.
Explore OpenAI’s language and video models on Atlas Cloud: ChatGPT for advanced reasoning and interaction, and Sora-2 for physics-aware video generation.
Vidu, a joint innovation by Shengshu AI and Tsinghua University, is a high-performance video model powered by the original U-ViT architecture that blends Diffusion and Transformer technologies. It delivers long-form, highly consistent, and dynamic video content tailored for professional filmmaking, animation design, and creative advertising. By streamlining high-end visual production, Vidu empowers creators to transform complex ideas into cinematic reality with unprecedented efficiency.
Built on the Wan 2.5 and 2.6 frameworks, Van Model is a flagship AI video series that delivers superior high-resolution outputs with unmatched creative freedom. By blending cinematic 3D VAE visuals with Flow Matching dynamics, it leverages proprietary compute distillation to offer ultra-fast inference speeds at a fraction of the cost, making it the premier engine for scalable, high-frequency video production on a budget.
As a premier suite of Large Language Models (LLMs) developed by MiniMax AI, MiniMax is engineered to redefine real-world productivity through cutting-edge artificial intelligence. The ecosystem features MiniMax M2.5, which is purpose-built for high-efficiency professional environments, and MiniMax M2.1, a model that offers significantly enhanced multi-language programming capabilities to master complex, large-scale technical tasks. By achieving SOTA performance in coding, agentic tool use, intelligent search, and office workflow automation, MiniMax empowers users to streamline a wide range of economically valuable operations with unparalleled precision and reliability.
Kimi is a large language model developed by Moonshot AI, designed for reasoning, coding, and long-context understanding. It performs well in complex tasks such as code generation, analysis, and intelligent assistants. With strong performance and efficient architecture, Kimi is suitable for enterprise AI applications and developer use cases. Its balance of capability and cost makes it an increasingly popular choice in the LLM ecosystem.