Seedance 2.0 Video Models
يُعد Seedance 2.0 (من Bytedance) نموذجًا لإنشاء الفيديو متعدد الوسائط يعيد تعريف مفهوم "الإنشاء القابل للتحكم"، متجاوزًا قيود النصوص أو إطارات البداية والنهاية. يدعم النموذج المدخلات رباعية الوسائط — النص والصورة والفيديو والصوت — ويقدم نظام "المرجع العالمي" (Universal Reference) الرائد في الصناعة. من خلال تكرار التركيب وحركة الكاميرا وأفعال الشخصيات بدقة من الأصول المرجعية، يحل Seedance 2.0 المشكلات الحاسمة المتعلقة بتساق الشخصيات والتماسك الفيزيائي، مما يمكّن المبدعين من العمل كـ "مخرجين" حقيقيين يتمتعون بتحكم عميق في مخرجاتهم.
استكشف النماذج الرائدة
يوفر لك Atlas Cloud أحدث النماذج الإبداعية الرائدة في الصناعة.
Seedance v1.5 Pro Image-to-Video
Native audio-visual joint generation model by ByteDance. Supports unified multimodal generation with precise audio-visual sync, cinematic camera control, and enhanced narrative coherence.
Seedance v1.5 Pro Text-to-Video
Native audio-visual joint generation model by ByteDance. Supports unified multimodal generation with precise audio-visual sync, cinematic camera control, and enhanced narrative coherence.
Seedance v1.5 Pro Image-to-Video Fast
Native audio-visual joint generation model by ByteDance. Supports unified multimodal generation with precise audio-visual sync, cinematic camera control, and enhanced narrative coherence.
Seedance v1.5 Pro Text-to-Video Fast
Native audio-visual joint generation model by ByteDance. Supports unified multimodal generation with precise audio-visual sync, cinematic camera control, and enhanced narrative coherence.
ما الذي يميز Seedance 2.0 Video Models
توفر لك Atlas Cloud أحدث النماذج الإبداعية الرائدة في الصناعة.
إدخال رباعي الوسائط
يدعم المزيج الحر من مدخلات الصور والفيديو والصوت والنصوص (ما يصل إلى 12 ملفًا)، مما يوسع الأبعاد الإبداعية بشكل كبير.
نظام المرجع العالمي
يتميز بإمكانية "Reference Everything"، حيث يحاكي بدقة لغة الكاميرا وإيقاعات الحركة المعقدة والمؤثرات الإبداعية من مقاطع الفيديو المرجعية.
الاتساق المطلق
يحافظ على تناسق مثالي لملامح الوجه وتفاصيل الملابس وأنماط المشهد وحتى النصوص الصغيرة داخل الإطار عبر لقطات متعددة.
تحرير الفيديو الذكي
يدعم بشكل أصلي استبدال الشخصيات، والتمديد السلس، ودمج المقاطع المتعددة في الفيديوهات الموجودة، مما يتيح ليس فقط التوليد بل التصوير المستمر.
المزامنة السمعية البصرية
يدعم تحميل الصوت كمرجع للإيقاع ويمكنه إنشاء مؤثرات صوتية وموسيقى عالية الجودة ومطابقة تلقائيًا.
تحكم معقد في الكاميرا
يحقق حركات كاميرا سينمائية معقدة مثل "زوم هيتشكوك" أو اللقطات المتواصلة ببساطة عن طريق استخدام فيديو مرجعي، دون الحاجة إلى أوامر (prompts) تقنية.
ما يمكنك القيام به مع Seedance 2.0 Video Models
توفر لك Atlas Cloud أحدث النماذج الإبداعية الرائدة في الصناعة.
قم بإخراج مشاهد معقدة من خلال الإشارة إلى زوايا تصوير محددة وحركات الشخصيات من مقاطع الفيديو الموجودة.
قم بتحرير اللقطات بسلاسة، واستبدال الشخصيات أو تمديد المدة دون المساس بالاتساق البصري.
قم بمزامنة المرئيات مع إيقاعات الموسيقى، وأنشئ تعديلات ديناميكية تتماشى مع إيقاع الملفات الصوتية التي تم تحميلها.
أنشئ قصصاً متسقة للعلامة التجارية، مع الحفاظ على دقة تفاصيل المنتج والنصوص عبر مختلف المشاهد.
لماذا تستخدم Seedance 2.0 Video Models على Atlas Cloud
دمج نماذج Seedance 2.0 Video Models المتقدمة مع منصة Atlas Cloud المسرّعة بـ GPU يوفر أداءً لا مثيل له وقابلية للتوسع وتجربة مطور استثنائية.
الأداء والمرونة
زمن انتقال منخفض:
استدلال محسّن لـ GPU للاستجابة في الوقت الفعلي.
API موحد:
قم بتشغيل Seedance 2.0 Video Models و GPT و Gemini و DeepSeek من خلال تكامل واحد.
تسعير شفاف:
فواتير يمكن التنبؤ بها لكل رمز مع خيارات بدون خادم.
المؤسسات والتوسع
تجربة المطور:
SDKs والتحليلات وأدوات الضبط الدقيق والقوالب.
الموثوقية:
وقت تشغيل 99.99%، RBAC، وتسجيل جاهز للامتثال.
الأمان والامتثال:
SOC 2 Type II، توافق HIPAA، سيادة البيانات في الولايات المتحدة.
استكشف المزيد من العائلات
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.
