Vidu Video Models
Vidu (von ShengShu Technology) ist ein fundamentales Videomodell, das auf der proprietären U-ViT-Architektur basiert und die Stärken von Diffusion- und Transformer-Modellen kombiniert. Es zeichnet sich durch überlegenes semantisches Verständnis und Generierungsfähigkeiten aus und erzeugt kohärente, flüssige Bilder, die physikalischen Gesetzen folgen, ohne dass eine Interpolation erforderlich ist. Mit außergewöhnlicher raumzeitlicher Konsistenz und einem tiefen Verständnis verschiedener kultureller Elemente bietet Vidu professionellen Filmemachern und Kreativen ein stabiles, effizientes und einfallsreiches Werkzeug für die Videoproduktion.
Erkunden Sie die Führenden Modelle
Atlas Cloud bietet Ihnen die neuesten branchenführenden kreativen Modelle.
Vidu Q3 Image-to-video
Vidu Q3 Image-to-Video is an advanced AI video generation model that brings static images to life. Upload a reference image and describe the motion you want — the model generates high-quality video with smooth animation, optional audio, and cinematic quality up to 1080p.
Vidu Q3 Text-to-video
Vidu Q3 Text-to-Video is an advanced AI video generation model that creates high-quality videos directly from text descriptions. With support for multiple styles, resolutions up to 1080p, and optional audio generation, it delivers cinematic results with smooth motion and rich detail.
Vidu Reference-to-Video Q1
Open and Advanced Large-Scale Video Generative Models.
Vidu Reference-to-Video 2.0
Open and Advanced Large-Scale Video Generative Models.
Vidu Start-End-to-Video 2.0
Open and Advanced Large-Scale Video Generative Models.
Image-to-video-2.0
Open and Advanced Large-Scale Video Generative Models.
Was Vidu Video Models Auszeichnet
Atlas Cloud bietet Ihnen die neuesten branchenführenden kreativen Modelle.
U-ViT-Architektur
Basiert auf einer wegweisenden einheitlichen Architektur, die hohe visuelle Details gewährleistet und gleichzeitig die Stabilität und Kohärenz bei der Generierung langer Einstellungen erheblich verbessert.
Single-Shot-Generierung
In der Lage, Videos mit hoher Bildrate und hoher Auflösung in einem einzigen Schritt zu erstellen, wodurch aufwendige Nachbearbeitung oder Upscaling überflüssig werden.
Raumzeitliche Konsistenz
Bewahrt die perfekte Einheit von Charaktermerkmalen, Objektstrukturen und Umgebungsdetails auch bei komplexen Kamerabewegungen oder Aktionen.
Filmische Kamerasteuerung
Unterstützt professionelle Kamerabewegungen wie Zoomen, Schwenken und Neigen und verleiht den generierten Videos eine filmische erzählerische Spannung.
Realistische Physik-Engine
Versteht tiefgehend reale Beleuchtung und physikalische Bewegungsgesetze und stellt sicher, dass dynamische Szenen logisch realistisch und glaubwürdig sind.
Multistil-Vielseitigkeit
Meistert mühelos diverse visuelle Stile, von fotorealistischer Kino-Ästhetik bis hin zu 3D-Animation und Anime, und erfüllt so vielfältige kreative Anforderungen.
Was Sie mit Vidu Video Models Tun Können
Atlas Cloud bietet Ihnen die neuesten branchenführenden kreativen Modelle.
Erstellen Sie fantasievolle Erzählungen mit nahtloser Kontinuität und erwecken Sie kreative Skripte sofort zum Leben.
Verwandeln Sie statische Bilder in dynamische visuelle Geschichten und verleihen Sie Ihren Fotos Bewegung und Emotionen.
Visualisieren Sie komplexe Szenen für die Pre-Production und optimieren Sie den Workflow vom Storyboard bis zur Leinwand.
Erstellen Sie vielfältige kommerzielle Assets und generieren Sie effizient konsistente Branding-Inhalte für verschiedene Medien.
Warum Vidu Video Models auf Atlas Cloud Verwenden
Die Kombination der fortschrittlichen Vidu Video Models-Modelle mit der GPU-beschleunigten Plattform von Atlas Cloud bietet unübertroffene Leistung, Skalierbarkeit und Entwicklererfahrung.
Leistung & Flexibilität
Niedrige Latenz:
GPU-optimierte Inferenz für Echtzeit-Reasoning.
Einheitliche API:
Führen Sie Vidu Video Models, GPT, Gemini und DeepSeek mit einer Integration aus.
Transparente Preisgestaltung:
Vorhersehbare Token-basierte Abrechnung mit serverlosen Optionen.
Unternehmen & Skalierung
Entwicklererfahrung:
SDKs, Analysen, Fine-Tuning-Tools und Vorlagen.
Zuverlässigkeit:
99,99% Verfügbarkeit, RBAC und compliance-bereite Protokollierung.
Sicherheit & Compliance:
SOC 2 Type II, HIPAA-Ausrichtung, Datensouveränität in den USA.
Weitere Familien Erkunden
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.
Flux.2 Image Models
The Flux.2 Series is a comprehensive family of AI image generation models. Across the lineup, Flux supports text-to-image, image-to-image, reconstruction, contextual reasoning, and high-speed creative workflows.
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.
Flux.2 Image Models
The Flux.2 Series is a comprehensive family of AI image generation models. Across the lineup, Flux supports text-to-image, image-to-image, reconstruction, contextual reasoning, and high-speed creative workflows.
