Seedream4.5 Models
Seedream 4.5, developed by ByteDance’s Jimeng AI, is a versatile, high-fidelity model that unifies creative generation with precise image editing. Engineered for professional consistency and intricate text rendering, it excels at multi-subject fusion, brand identity, and high-resolution marketing assets. By bridging spatial logic with artistic control, Seedream 4.5 empowers designers with a seamless, instruction-driven workflow that transforms complex concepts into polished, commercial-grade visuals.
探索領先模型(4)
峰值速度
最低成本
| 模態 | 描述 |
|---|---|
| Seedream v4.5 T2I API(Text To Image) | Seedream v4.5 T2I API 賦能創作者將文字描述即時轉化為高保真視覺圖像。它具備 PNG 輸出和快速提示詞優化模式，簡化了快速原型設計、UI/UX 概念化以及高速創意迭代的設計流程，專為追求速度與清晰度的場景打造。 |
| Seedream v4.5 I2I Edit API(Image To Image) | Seedream v5.0 I2I Lite Edit API 為開發者提供了透過文字提示詞和參考圖像轉換現有圖像的工具。它支援無縫風格遷移和精確內容編輯，非常適合迭代設計和品牌資產客製化。 |
| Seedream v4.5 T2I Sequential API(Text To Image) | Seedream v5.0 T2I Lite Sequential API 藉由在單次請求中生成多達 15 張相關圖像，徹底革新了批量內容創作。它針對大批量資產產出、分鏡腳本擴展以及全面的視覺世界建構進行了優化。 |
| Seedream v4.5 I2I Edit Sequential API(Image To Image) | Seedream v5.0 I2I Lite Edit Sequential API 使用戶能夠同時對一系列圖像應用一致的編輯。透過在單一批次中處理多達 15 個相關視覺內容，它確保了視覺和諧與風格的連續性，使其成為角色設計變體、序列編輯和複雜視覺敘事的理想解決方案。 |
Seedream4.5 Models 新功能 + 展示
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。
運用 Seedream 5.0 API 的即時網路搜尋能力
Seedream 5.0 引入了業界首創的「搜尋即生成」工作流程，彌合了即時資訊與視覺合成之間的鴻溝。透過捕捉熱門新聞、全球事件和即時數據，它為模型注入了廣闊的「通用知識」庫。這是創作具時效性的編輯內容、數據驅動的視覺化圖表以及具文化相關性的行銷資產的權威工具。
使用 Seedream 5.0 API 實現智能邏輯推理與物理一致性
該版本整合了深厚的垂直產業知識——從生物科學到建築設計——以確保嚴謹的結構完整性。它在嚴格遵守現實世界物理定律（包括空間佈局和光照一致性）的同時，精準解讀複雜的邏輯關係。它為科學視覺化、工業原型設計和超逼真環境渲染提供了基礎解決方案。
透過 Seedream 5.0 API 實現精確控制與可編輯性
Seedream 5.0 API 擁有先進的指令遵循和多模態參考功能，能實現對視覺輸出的前所未有的控制。透過運用精密的學習演算法，它可以自動重用特定的視覺元素，並在不同的語境中維持身分的一致性。它是打造符合品牌形象的資產、保持角色一致性以及迭代式創意精煉的強大引擎。
使用 Seedream4.5 Models 可以做什麼
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。
透過 Seedream 5.0 進行動態情境感知行銷
Seedream 5.0 API 賦能品牌生成與現實世界同步脈動的視覺內容。透過整合業界首創的即時網路搜尋功能，它能捕捉流行美學與即時數據，製作出具備文化關聯性的影像。它是新聞回應式社群行銷活動、數據驅動型編輯內容，以及任何需要掌握最新全球脈動與視覺敘事專案的終極解決方案。
使用 Seedream 5.0 進行高精度工業與科學原型設計
針對要求結構完整性的專案，Seedream 5.0 可提供內嵌垂直邏輯且嚴格遵守物理定律的圖像。它能掌握複雜的空間佈局、一致的光影和材質準確性。此應用案例適用於建築視覺化、工業產品設計和科學插圖，在這些領域中，精確度和現實世界的物理法則與美學品質同等重要。
使用 Seedream 5.0 實現統一的品牌敘事與角色一致性
Seedream 5.0 透過其順序生成（Sequential Generation）和先進的參考功能，提供了無與倫比的視覺持久性控制。透過學習和重用特定的視覺元素，創作者可以在多幀之間保持完美的身份一致性。非常適合角色世界構建、高端時尚 Lookbook 以及需要在每次請求中保持統一風格的連貫品牌資產套件。
模型對比
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 |
|---|---|---|---|---|
| Seedream 4.5 | 10 | 1~15 | 1080P~4K+ | Width[1440, 4096]px; Height[1440, 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 |
| Qwen-Image | 3 | 1~6 | 512P~2K | Width[512, 2048]px; Height[512, 2048]px |
| 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 |
如何在 Atlas Cloud 上使用 Seedream4.5 Models
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。
建立 Atlas Cloud 帳戶
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。
為何在 Atlas Cloud 使用 Seedream4.5 Models
將先進的 Seedream4.5 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。
效能與靈活性
低延遲：
GPU 最佳化推理，實現即時回應。
統一 API：
一次整合，暢用 Seedream4.5 Models、GPT、Gemini 和 DeepSeek。
透明定價：
按 Token 計費，支援 Serverless 模式。
企業與規模
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。
關於 Seedream4.5 Models 的常見問題
Seedream v5.0 Sequential API 允許在單次請求中生成多達 15 張相關圖像，確保整批圖像在主題和風格上保持嚴格一致。
是的。該模型內嵌了垂直產業知識庫，使其能夠遵循專業設計所需的現實世界物理定律、空間邏輯和光照一致性。
憑藉先進的指令遵循和參考功能，Seedream 5.0 能夠自動重複使用特定視覺元素，並在不同生成批次中保持身分一致性。
探索更多系列
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.
