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.
探索领先模型(4)
峰值速度
最低成本
| 模态 | 描述 |
|---|---|
| Seedream v4.5 T2I API(Text To Image) | Seedream v4.5 T2I API 赋能创作者将文本描述即时转化为高保真视觉图像。它具备 PNG 输出和快速提示词优化模式，简化了快速原型设计、UI/UX 概念化以及高速创意迭代的设计流程，专为追求速度与清晰度的场景打造。 |
| Seedream v4.5 I2I Edit API(Image To Image) | Seedream v5.0 I2I Lite Edit API 为开发者提供了通过文本提示词和参考图像转换现有图像的工具。它支持无缝风格迁移和精确内容编辑，非常适合迭代设计和品牌资产定制。 |
| Seedream v4.5 T2I Sequential API(Text To Image) | Seedream v5.0 T2I Lite Sequential API 通过在单次请求中生成多达 15 张相关图像，彻底改变了批量内容创作。它专为大批量资产生产、故事板扩展和全面的视觉世界构建进行了优化。 |
| Seedream v4.5 I2I Edit Sequential API(Image To Image) | Seedream v5.0 I2I Lite Edit Sequential API 使用户能够同时对一系列图像应用一致的编辑。通过在一个批次中处理多达 15 个相关视觉内容，它确保了视觉和谐与风格的连续性，使其成为角色设计变体、序列编辑和复杂视觉叙事的理想解决方案。 |
Seedream4.5 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。
基于 Seedream 5.0 API 的实时网络搜索能力
Seedream 5.0 引入了业界首创的“搜索即生成”工作流，弥合了实时信息与视觉合成之间的鸿沟。通过捕捉热点新闻、全球事件和实时数据，它为模型注入了广阔的“通用知识”库。这是创作时效性编辑内容、数据驱动的可视化图表以及具有文化相关性的营销资产的终极工具。
使用 Seedream 5.0 API 实现智能逻辑推理与物理一致性
该版本集成了深厚的垂直行业知识——从生物科学到建筑设计——以确保严谨的结构完整性。它在严格遵守现实世界物理定律（包括空间布局和光照一致性）的同时，精准解读复杂的逻辑关系。它为科学可视化、工业原型设计和超逼真环境渲染提供了基础解决方案。
使用 Seedream 5.0 API 实现精准控制与可编辑性
Seedream 5.0 API 拥有先进的指令跟随和多模态参考能力，能实现对视觉输出的前所未有的控制。利用复杂的学习算法，它可以自动重用特定的视觉元素，并在不同的上下文中保持主体一致性（Identity Persistence）。它是品牌一致性资产创建、角色一致性和迭代创意优化的强大引擎。
使用 Seedream4.5 Models 可以做什么
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。
基于 Seedream 5.0 的动态上下文感知营销
Seedream 5.0 API 赋能品牌生成与现实世界同频共振的视觉内容。通过集成业界首创的实时网络搜索（Real-Time Web Search），它能捕捉流行美学和实时数据，制作出具有文化相关性的图像。它是新闻响应式社交活动、数据驱动型编辑内容以及任何需要最新全球语境和视觉叙事项目的终极解决方案。
使用 Seedream 5.0 进行高精度工业与科学原型设计
对于要求结构完整性的项目，Seedream 5.0 可提供内嵌垂直逻辑和严格遵循物理规律的图像。它能驾驭复杂的空间布局、一致的照明和材质准确性。该用例适用于建筑可视化、工业产品设计和科学插图，在这些领域，精确度和现实世界的物理定律与审美质量同样重要。
使用 Seedream 5.0 实现统一的品牌叙事与角色一致性
Seedream 5.0 通过其顺序生成（Sequential Generation）和先进的参考功能，提供了无与伦比的视觉持久性控制。通过学习和重用特定的视觉元素，创作者可以在多帧之间保持完美的身份一致性。非常适合角色世界构建、高端时尚 Lookbook 以及需要在每次请求中保持统一风格的连贯品牌资产套件。
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。
| 模型 | 参考图像限制 | 输出数量 | 分辨率 | 纵横比 |
|---|---|---|---|---|
| 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
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 Seedream4.5 Models
将先进的 Seedream4.5 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 Seedream4.5 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。
关于 Seedream4.5 Models 的常见问题
Seedream v5.0 Sequential API 允许在单个请求中生成多达 15 张相关图像，确保整批图像在主题和风格上保持严格一致。
是的。该模型内嵌了垂直行业知识库，使其能够遵循专业设计所需的现实世界物理定律、空间逻辑和光照一致性。
凭借先进的指令遵循和参考能力，Seedream 5.0 能够自动复用特定视觉元素，并在不同生成批次中保持身份一致性。
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.
