





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 為您提供最新的行業領先創意模型。
Atlas Cloud 為您提供業界領先的最新創意模型。

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
| 模態 | 描述 |
|---|---|
| Qwen-Image T2I Max API(Text To Image) | Qwen-Image T2I Max API 賦能創作者將複雜的文字提示轉化為超頂級、高保真的視覺效果。透過運用其最大處理深度來呈現豐富細節與藝術複雜度,它能生成專為奢侈品牌、高端廣告及專業數位藝術最佳化的工作室級影像。 |
| Qwen-Image T2I Plus API(Text To Image) | Qwen-Image T2I Plus API 賦予開發者以卓越效率將創意轉化為生動、高解析度的圖像。透過平衡快速生成與卓越的美學一致性,它能生成針對數位行銷、網頁設計及大批量資產製作進行最佳化的精緻視覺內容。 |
| Qwen-Image Edit Plus 20251215 API(Image To Image) | Qwen-Image Edit Plus 20251215 API 讓使用者能夠透過精確引導的視覺修改來轉換現有影像。透過利用 2025 年最新的架構更新進行細緻的風格轉換和物件操作,它所生成的無縫編輯資產專為迭代原型設計和進階後製進行了最佳化。 |
| Qwen-Image Edit Plus API(Image To Image) | Qwen-Image Edit Plus API 賦能設計師將源圖像轉化為客製化的傑作。透過提供對結構完整性和風格疊加的增強控制,它能生成經過優化的精緻視覺效果,適用於專業修圖和複雜的、符合品牌調性的創意修改。 |
| Qwen-Image Edit API(Image To Image) | Qwen-Image Edit API 賦能開發者以簡化的效率將靜態圖像轉化為煥然一新的視覺概念。透過提供用於快速圖生圖轉換的核心工具,它能生成針對自動化內容在地化和快速周轉設計任務進行最佳化的一致結果。 |
| Qwen Image T2I API(Text To Image) | Qwen Image T2I API 利用其龐大的 20B MMDiT 基礎模型,賦能創新者將複雜的描述轉化為超逼真的視覺效果。透過運用深度多模態推理和擴散 Transformer,它生成了專為大規模企業解決方案和尖端視覺研究優化的業界領先圖像。 |
| Qwen Image Edit API(Image To Image) | Qwen Image Edit API 憑藉其強大的 20B MMDiT 架構,賦能藝術家將參考圖像轉化為精緻的新形態。透過將先進的多模態理解應用於圖像到圖像任務,它能生成極其連貫的編輯效果,專為複雜的建築視覺化和高精度創意工作流程而優化。 |
| Z-Image Turbo API(Text To Image) | Z-Image Turbo API 賦能敏捷團隊,以閃電般的低延遲將提示詞轉化為高品質圖像。透過在不犧牲視覺清晰度的情況下優先考慮推理速度,它能生成針對即時應用、直播社群媒體互動和高頻內容實驗最佳化的即時結果。 |
將先進模型與 Atlas Cloud 的 GPU 加速平台相結合,為圖像和視頻生成提供無與倫比的速度、可擴展性和創意控制。

Qwen-Image API 支援高保真解剖渲染,能夠深度捕捉逼真的人類特徵和皮膚紋理。透過在提示詞中優化光線漫射和自然肌肉運動,使用者可以根據任何文字描述精確生成照片級逼真的人像。它是專業時尚攝影、數位虛擬化身和電影級角色設計的終極解決方案。

Qwen-Image API 支援微觀紋理合成,能夠深度還原自然界錯綜複雜的細節。透過描述超精細的環境元素和光照條件,使用者可以精確渲染精緻的植被、大氣效果和有機表面。它是高畫質風景藝術、自然紀錄片和寫實環境敘事的終極解決方案。

Qwen-Image API 支援複雜的排版佈局,能將精確的文字元素深度整合至生成的視覺內容中。利用其 1K token 的輸入容量,使用者可以精準渲染多字體文本和全篇古籍插畫,且無失真。這是專業海報設計、品牌行銷素材及精確資訊圖表生成的終極解決方案。

Qwen-Image API 支援進階身分保持功能,可在連續圖像生成中深度維持視覺連貫性。透過在提示詞中定義核心屬性和參考幀,使用者可以在整個專案中精確複製面部特徵和風格特質。這是連載敘事、統一品牌吉祥物和角色驅動型創意活動的終極解決方案。

Qwen-Image API 支援無縫 LoRA 權重整合,以深度客製化滿足特定藝術或品牌要求的美學輸出。透過切換專用風格模組或微調後的角色權重,使用者能夠以極小的開銷精確實現小眾視覺語言。這是特定工作室工作流程、獨特藝術簽名和快速風格適應的終極解決方案。

Qwen-Image API 支援精確的材質建模,以深度視覺化呈現尖端的產品概念和複雜的結構原型。透過指定表面處理、光線反射和人體工學細節,使用者可以精確生成 2K 解析度的專業級工業渲染圖。它是汽車設計、消費電子原型製作和高影響力產品行銷的終極解決方案。

Qwen-Image API 支援嚴謹的空間邏輯,能深度理解複雜的 3D 透視與多物體結構佈局。透過其原生 2K 渲染引擎處理精細的幾何提示詞(prompts),使用者可以精確生成具有完美消失點與景深的圖像。這是建築視覺化、室內設計規劃與高階技術插圖的終極解決方案。
探索使用該模型家族可以構建的實際應用場景和工作流 — 從內容創作、自動化到生產級應用。
Qwen-Image API 使創作者和設計師能夠以原生 2K 解析度 (2048x2048) 生成超高畫質視覺效果。憑藉其高效的 7B 架構,該 API 能夠呈現驚人的清晰度,具有逼真的光照、細緻的皮膚紋理和電影般的景深。非常適合需要毫不妥協的細節和宏大規模的高端品牌推廣、時尚作品集和專業數位藝術。
針對內容豐富的視覺效果,Qwen-Image API 可在複雜版面和多樣字體風格中生成精確的排版。它擅長在單一作品中以像素級的完美定位呈現複雜的中文字符和全文本古典插畫。此應用場景適合尋求無縫、無誤圖文整合的行銷專家、資訊圖表設計師和文化創作者。
Qwen-Image API 允許開發者將長達 1,000 個 token 的長篇、多層次描述轉化為連貫的視覺敘事。透過處理密集的創意意圖,即使在最複雜的提示詞(prompt)中,它也能保持結構完整性和主題一致性。該工具由先進的 7B 視覺推理驅動,非常適合分鏡師、工業設計師以及敘事導向型社群媒體內容的創作。
查看不同廠商的模型表現 — 對比效能、價格和獨特優勢,做出明智決策。
| 模型 | 參考影像限制 | 輸出數量 | 解析度 | 長寬比 |
|---|---|---|---|---|
| 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 |
幾分鐘即可上手 — 按照以下簡單步驟,透過 Atlas Cloud 平台整合和部署模型。
在 atlascloud.ai 註冊並完成驗證。新用戶可獲得免費額度,用於探索平台和測試模型。
將先進的 Qwen Image Models 模型與 Atlas Cloud 的 GPU 加速平台相結合,提供無與倫比的效能、可擴展性和開發體驗。
低延遲:
GPU 最佳化推理,實現即時回應。
統一 API:
一次整合,暢用 Qwen Image Models、GPT、Gemini 和 DeepSeek。
透明定價:
按 Token 計費,支援 Serverless 模式。
開發者體驗:
SDK、資料分析、微調工具和模板一應俱全。
可靠性:
99.99% 可用性、RBAC 權限控制、合規日誌。
安全與合規:
SOC 2 Type II 認證、HIPAA 合規、美國資料主權。
Qwen-Image 採用了最新的 7B 輕量級架構,針對原生 2K 渲染和 1K Token 提示詞進行了優化。相比之下,Qwen image 指的是經典的 20B MMDiT 基礎模型,專為高負載多模態推理和高精度研究任務而設計。
Qwen-Image 支援原生 2K 解析度 (2048×2048)。與依賴放大技術的模型不同,它直接從基礎架構生成高保真細節,以確保像素級清晰度。
它是中文文字渲染領域的市場領導者。該模型能精準處理複雜的版面配置、多樣的字型風格,甚至能以零字元失真的精度處理全篇文言文。
7B 架構在旗艦級效能與閃電般的推論速度之間提供了最佳平衡。它為專業設計工作流程和大量內容生產提供了一種具成本效益的解決方案。
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.