Seedream Image Models
Seedream là một mô hình tạo ảnh AI tiên tiến được phát triển bởi ByteDance, được thiết kế để chuyển đổi văn bản và hình ảnh tham khảo thành hình ảnh chuyên nghiệp chất lượng cao với hiệu suất nhanh và khả năng kiểm soát sáng tạo phong phú. Nó hợp nhất việc tạo ảnh từ văn bản (text-to-image) và chỉnh sửa ảnh trực quan trong một quy trình làm việc duy nhất, hỗ trợ tham khảo nhiều hình ảnh và đầu ra có phong cách nhất quán. Seedream cung cấp hình ảnh siêu nhanh, độ phân giải cao (lên đến 4K) và vượt trội trong việc kết xuất chi tiết, khiến nó trở nên lý tưởng cho các nhà thiết kế, nhà tiếp thị và người sáng tạo.
Khám phá Mô hình Hàng đầu
Atlas Cloud cung cấp cho bạn các mô hình sáng tạo tiên tiến nhất trong ngành.
Seedream v4.5
ByteDance latest image generation model achieving all-round improvements. Excels at typography, poster design, and brand visual creation with superior prompt adherence.
Seedream v4.5 Edit
ByteDance advanced image editing model that preserves facial features, lighting, and color tones while enabling professional-quality modifications.
Seedream v4.5 Sequential
ByteDance latest image generation model with batch generation support. Generate up to 15 images in a single request.
Seedream v4.5 Edit Sequential
ByteDance advanced image editing model with batch generation support. Edit multiple images while preserving facial features and details.
Seedream v4
Open and Advanced Large-Scale Image Generative Models.
Seedream v4 Sequential
Open and Advanced Large-Scale Image Generative Models.
Seedream v4 Edit
Open and Advanced Large-Scale Image Generative Models.
Seedream v4 Edit Sequential
Open and Advanced Large-Scale Image Generative Models.
Seedream v3.1
Open and Advanced Large-Scale Image Generative Models.
Seedream V3
ByteDance Seedream V3 is a state-of-the-art text-to-image model that excels in generating high-quality, photorealistic images with exceptional detail and artistic flair.
Điều Gì Làm Nên Seedream Image Models
Atlas Cloud cung cấp cho bạn các mô hình sáng tạo hàng đầu trong ngành công nghiệp mới nhất.
Tổng hợp hình ảnh
Tạo hình ảnh từ các câu lệnh văn bản bằng cách sử dụng các mô hình Seedream v3–v4.
Chỉnh sửa trực tiếp
Tinh chỉnh hình ảnh thông qua điểm cuối Seedream v4/edit.
Chỉnh sửa tuần tự
Applies step-by-step changes with edit-sequential model.
Đầu ra tuần tự
Tạo ra kết quả nhiều bước thông qua quá trình tạo tuần tự.
Tùy chọn phiên bản
Cung cấp các biến thể v3, v3.1 và v4 để phù hợp với các nhu cầu khác nhau.
Đầu vào hình ảnh
Các mô hình chỉnh sửa có thể lấy hình ảnh hiện có làm đầu vào và tinh chỉnh nó bằng các câu lệnh nhắc (prompts).
Những Gì Bạn Có Thể Làm với Seedream Image Models
Atlas Cloud cung cấp cho bạn các mô hình sáng tạo hàng đầu trong ngành công nghiệp mới nhất.
Tạo hình ảnh tiếp thị, ảnh sản phẩm hoặc tài nguyên sáng tạo với độ phân giải cao.
Chỉnh sửa và tinh chỉnh thiết kế với khả năng kiểm soát từng khung hình.
Tạo các ý tưởng nghệ thuật hoặc hình ảnh render sống động như thật từ câu lệnh văn bản.
Xây dựng quy trình xử lý hình ảnh có khả năng mở rộng cho quảng cáo, thời trang và thiết kế.
Tại sao Sử dụng Seedream Image Models trên Atlas Cloud
Sự kết hợp của các mô hình tiên tiến của Seedream Image Models với nền tảng được tăng tốc GPU của Atlas Cloud mang lại hiệu suất, khả năng mở rộng và trải nghiệm nhà phát triển độc đáo.
Hiệu suất và Tính linh hoạt
Độ Trễ Thấp:
Suy luận được tối ưu hóa GPU cho suy luận thời gian thực.
API Thống nhất:
Chạy Seedream Image Models, GPT, Gemini và DeepSeek với một tích hợp duy nhất.
Giá cả Minh bạch:
Thanh toán dựa trên token có thể dự đoán với tùy chọn serverless.
Doanh nghiệp và Mở rộng
Trải nghiệm Nhà phát triển:
SDK, phân tích, công cụ tinh chỉnh và mẫu.
Độ tin cậy:
99,99% khả dụng, RBAC và ghi nhật ký sẵn sàng cho tuân thủ.
Bảo mật và Tuân thủ:
SOC 2 Type II, tuân thủ HIPAA, chủ quyền dữ liệu tại Hoa Kỳ.
Khám phá Thêm Dòng
Seedance 2.0 Video 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.
Vidu Video Models
Vidu (by ShengShu Technology) is a foundational video model built on the proprietary U-ViT architecture, combining the strengths of Diffusion and Transformer models. It features superior semantic understanding and generation capabilities, producing coherent, fluid visuals that adhere to physical laws without the need for interpolation. With exceptional spatiotemporal consistency and a deep understanding of diverse cultural elements, Vidu empowers professional filmmakers and creators with a stable, efficient, and imaginative tool for video production.
MiniMax LLM Models
MiniMax is a large language model developed by MiniMax AI, focused on efficient reasoning, long-context understanding, and scalable text generation. It is designed for complex tasks such as dialogue systems, document analysis, content creation, and AI agents. With an emphasis on high performance at lower computational cost, MiniMax is well suited for enterprise applications and developer use cases where stability, efficiency, and cost control are important.
GLM LLM Models
GLM (General Language Model) is a large language model developed by ZAI (Zhipu AI) for text understanding, generation, and reasoning. It supports both Chinese and English and performs well in dialogue, content creation, translation, and code assistance. GLM is widely used in chatbots, enterprise AI systems, and developer applications due to its stable performance and versatility.
Moonshot LLM Models
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.
Open AI Model Families
Explore OpenAI’s language and video models on Atlas Cloud: ChatGPT for advanced reasoning and interaction, and Sora-2 for physics-aware video generation.
Van Video Models
Van Model is a flagship video model family, perfectly retaining the cinematic visuals and complex dynamics of 3D VAE and Flow Matching. By leveraging proprietary compute distillation, it breaks the "quality equals cost" barrier to deliver extreme inference speeds and ultra-low costs. This makes Van the premier engine for enterprises and developers seeking high-frequency, scalable video production on a budget.
Kling 3.0 Video Models
Kling AI Video 3.0 (by Kuaishou) is a groundbreaking model designed to bridge the worlds of sound and visuals through its unique Single-pass architecture. By simultaneously generating visuals, natural voiceovers, sound effects, and ambient atmosphere, it eliminates the disjointed workflows of traditional tools. This true audio-visual integration simplifies complex post-production, providing creators with an immersive storytelling solution that significantly boosts both creative depth and output efficiency.
Veo3.1 Video Models
Veo 3.1 (by Google) is a flagship generative video model that sets a new standard for cinematic AI by deeply integrating semantic capabilities to deliver cinematic visuals, synchronized audio, and complex storytelling in a single workflow. Distinguishing itself through superior adherence to cinematic terminology and physics-based consistency, it offers professional filmmakers an unparalleled tool for transforming scripts into coherent, high-fidelity productions with precise directorial control.
Sora-2 Video Models
The Sora-2 family from OpenAI is the next-generation video + audio generation model, enabling both text-to-video and image-to-video outputs with synchronized dialogue, sound effect, improved physical realism, and fine-grained control.
Nano Banana Image Models
Nano Banana is a fast, lightweight image generation model for playful, vibrant visuals. Optimized for speed and accessibility, it creates high-quality images with smooth shapes, bold colors, and clear compositions—perfect for mascots, stickers, icons, social posts, and fun branding.
Wan2.6 Video Models
Wan 2.6 is a next-generation AI video generation model from Alibaba’s Tongyi Lab, designed for professional-quality, multimodal video creation. It combines advanced narrative understanding, multi-shot storytelling, and native audio–visual synchronization to produce smooth 1080p videos up to 15 s long from text and reference inputs. Wan 2.6 also supports character consistency and role-guided generation, enabling creators to turn scripts into cohesive scenes with seamless motion and lip syncing. Its efficiency and rich creative control make it ideal for short films, advertising, social media content, and automated video workflows.
Seedance 2.0 Video 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.
Vidu Video Models
Vidu (by ShengShu Technology) is a foundational video model built on the proprietary U-ViT architecture, combining the strengths of Diffusion and Transformer models. It features superior semantic understanding and generation capabilities, producing coherent, fluid visuals that adhere to physical laws without the need for interpolation. With exceptional spatiotemporal consistency and a deep understanding of diverse cultural elements, Vidu empowers professional filmmakers and creators with a stable, efficient, and imaginative tool for video production.
MiniMax LLM Models
MiniMax is a large language model developed by MiniMax AI, focused on efficient reasoning, long-context understanding, and scalable text generation. It is designed for complex tasks such as dialogue systems, document analysis, content creation, and AI agents. With an emphasis on high performance at lower computational cost, MiniMax is well suited for enterprise applications and developer use cases where stability, efficiency, and cost control are important.
GLM LLM Models
GLM (General Language Model) is a large language model developed by ZAI (Zhipu AI) for text understanding, generation, and reasoning. It supports both Chinese and English and performs well in dialogue, content creation, translation, and code assistance. GLM is widely used in chatbots, enterprise AI systems, and developer applications due to its stable performance and versatility.
Moonshot LLM Models
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.
Open AI Model Families
Explore OpenAI’s language and video models on Atlas Cloud: ChatGPT for advanced reasoning and interaction, and Sora-2 for physics-aware video generation.
Van Video Models
Van Model is a flagship video model family, perfectly retaining the cinematic visuals and complex dynamics of 3D VAE and Flow Matching. By leveraging proprietary compute distillation, it breaks the "quality equals cost" barrier to deliver extreme inference speeds and ultra-low costs. This makes Van the premier engine for enterprises and developers seeking high-frequency, scalable video production on a budget.
Kling 3.0 Video Models
Kling AI Video 3.0 (by Kuaishou) is a groundbreaking model designed to bridge the worlds of sound and visuals through its unique Single-pass architecture. By simultaneously generating visuals, natural voiceovers, sound effects, and ambient atmosphere, it eliminates the disjointed workflows of traditional tools. This true audio-visual integration simplifies complex post-production, providing creators with an immersive storytelling solution that significantly boosts both creative depth and output efficiency.
Veo3.1 Video Models
Veo 3.1 (by Google) is a flagship generative video model that sets a new standard for cinematic AI by deeply integrating semantic capabilities to deliver cinematic visuals, synchronized audio, and complex storytelling in a single workflow. Distinguishing itself through superior adherence to cinematic terminology and physics-based consistency, it offers professional filmmakers an unparalleled tool for transforming scripts into coherent, high-fidelity productions with precise directorial control.
Sora-2 Video Models
The Sora-2 family from OpenAI is the next-generation video + audio generation model, enabling both text-to-video and image-to-video outputs with synchronized dialogue, sound effect, improved physical realism, and fine-grained control.
Nano Banana Image Models
Nano Banana is a fast, lightweight image generation model for playful, vibrant visuals. Optimized for speed and accessibility, it creates high-quality images with smooth shapes, bold colors, and clear compositions—perfect for mascots, stickers, icons, social posts, and fun branding.
Wan2.6 Video Models
Wan 2.6 is a next-generation AI video generation model from Alibaba’s Tongyi Lab, designed for professional-quality, multimodal video creation. It combines advanced narrative understanding, multi-shot storytelling, and native audio–visual synchronization to produce smooth 1080p videos up to 15 s long from text and reference inputs. Wan 2.6 also supports character consistency and role-guided generation, enabling creators to turn scripts into cohesive scenes with seamless motion and lip syncing. Its efficiency and rich creative control make it ideal for short films, advertising, social media content, and automated video workflows.
