Wan 2.7 Video 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.
Erkunden Sie die Führenden Modelle
Atlas Cloud bietet Ihnen die neuesten branchenführenden kreativen Modelle.
Was Wan 2.7 Video Models Auszeichnet
Atlas Cloud bietet Ihnen die neuesten branchenführenden kreativen Modelle.
Precision Scene Synthesis
Master video flow via first/last frame control and 3x3 grid image-to-video generation.
Advanced Reference Support
Outperforms competitors by supporting real-person image inputs and up to five video references.
Instruction-Driven Editing
Effortlessly edit or replicate existing videos using simple natural language commands.
Extended Dynamic Duration
Generate 2-15 seconds of fluid, high-definition motion for professional digital storytelling.
Comprehensive Quality Leap
Massive upgrades in visual clarity, synchronized audio, and motion consistency.
Spitzengeschwindigkeit
Niedrigste Kosten
| Wan 2.6 I2V Flash API (Image To Video Flash) | Die Wan 2.6 I2V Flash API beschleunigt die Animation eines einzelnen Bildes in Bewegung für zeitkritische Anwendungen. Wan 2.6 Flash optimiert die Inferenzgeschwindigkeit und Ressourcenzuweisung und liefert eine schnelle Videogenerierung, während die Identität des Kernsubjekts und die wesentliche visuelle Dynamik erhalten bleiben. Dieser Modus eignet sich hervorragend für interaktive Echtzeit-Avatare, Rapid Prototyping und die Erstellung großer Mengen an Social-Media-Inhalten, bei denen Geschwindigkeit Priorität hat. |
| Wan 2.6 I2V API (Image To Video) | Die Wan 2.6 I2V API animiert ein einzelnes Bild und versetzt es in Bewegung, wobei die Identität des Subjekts und der visuelle Stil erhalten bleiben. Wan 2.6 bewahrt Gesichtszüge, Proportionen, Texturen und die Gesamtkomposition und eignet sich daher für Porträts, Produktbilder, Illustrationen und andere statische Grafiken, die zu Kurzvideos erweitert werden sollen. |
| Wan 2.6 T2V API (Text To Video) | Die Wan 2.6 T2V API generiert kinoreife Videos direkt aus natürlicher Sprache. Wan 2.6 versteht Multi-Shot-Prompts und Beschreibungen im Storyboard-Stil und übersetzt Einstellungsfolge, Kamerarichtung, Pacing und Stimmung in eine kohärente Videosequenz statt in einen einzelnen, isolierten Clip. Dieser Modus eignet sich hervorragend für Drehbücher, Briefings und strukturierte Szenenbeschreibungen. |
| Wan 2.6 V2V API (Video To Video) | Die Wan 2.6 V2V API verwandelt vorhandenes Videomaterial in neue visuelle Stile oder ändert spezifische Elemente innerhalb der Sequenz. Wan 2.6 verfolgt die zeitliche Konsistenz über Einzelbilder hinweg und gewährleistet so weiche Übergänge und stabile Objektidentitäten, während komplexe Neugestaltungen, Beleuchtungsanpassungen oder Bewegungsmodifikationen angewendet werden. Dieser Modus eignet sich hervorragend für Post-Production-VFX, die Animations-Stilisierung von Live-Action-Clips und gezielte Videobearbeitungsaufgaben. |
| Wan2.6 I2I API (Image To Image) | Die Wan 2.6 I2I API modifiziert oder gestaltet ein bestehendes Bild basierend auf Text-Prompts oder strukturellen Leitfäden neu. Wan 2.6 balanciert die strukturelle Integrität der ursprünglichen Eingabe präzise mit den kreativen Ergänzungen des Prompts aus und ermöglicht so detaillierte Texturanpassungen, lokale Bearbeitungen und übergreifende Stiltransformationen. Dieser Modus eignet sich hervorragend für die Iteration von Konzeptkunst, Fotoverbesserung, Variationen von Marketing-Assets und gezielte Bildretusche. |
| Wan2.6 T2I API (Text To Image) | Die Wan 2.6 T2I API generiert hochauflösende Bilder direkt aus detaillierten Beschreibungen in natürlicher Sprache. Wan 2.6 interpretiert komplexe Kompositionsanforderungen, subtile Beleuchtungshinweise und komplizierte stilistische Parameter und rendert hochdetaillierte und visuell kohärente Ausgaben. Dieser Modus eignet sich hervorragend für Werbe-Key-Visuals, redaktionelle Illustrationen, UI/UX-Mockups und expansive Konzeptdesigns. |
Neue Funktionen von Wan 2.7 Video Models + Showcase
Die Kombination fortschrittlicher Modelle mit der GPU-beschleunigten Plattform von Atlas Cloud bietet unübertroffene Geschwindigkeit, Skalierbarkeit und kreative Kontrolle für die Bild- und Videogenerierung.
Multi-Shot-Storytelling mit filmischer Präzision unter Verwendung der Wan 2.6 API
Die Wan 2.6 API führt eine überarbeitete Storytelling-Engine ein, die Multi-Shot-Videos in 1080p mit fließenden Übergängen, ausgewogenem Pacing und natürlicher Kamerabewegung generiert. Sie versteht Prompts im Storyboard-Stil und Szenenbeschreibungen, sodass Entwickler aus Text- oder Bildeingaben zusammenhängende visuelle Erzählungen erstellen können. Dies macht die Wan 2.6 AI Video Generation API ideal für filmisches Storytelling und kreative Kurzform-Produktionen.
Native audiovisuelle Integration und kinoreife HD-Ausgabe mit der Wan 2.6 API
Die Wan 2.6 API verfügt über eine native audiovisuelle Generierungs-Engine, die vollumfänglich kinoreife HD-Videos mit synchronisierten Klanglandschaften, fortschrittlicher Kameraphysik und präziser Lippensynchronisation produziert. Sie kombiniert nahtlos Dialoge, Hintergrundmusik und Umgebungsgeräusche in einem einzigen Workflow, sodass Entwickler realistische Schwenks, Zooms und Verfolgungsaufnahmen ohne sekundäre Audiobearbeitung durchführen können. Dies macht die Wan 2.6 AI Video Generation API ideal für die automatisierte Kurzfilmproduktion, immersive Marketingkampagnen und veröffentlichungsbereite Social-Media-Inhalte.
Punktgenaue Identitätsbewahrung und Charakterkonsistenz mit der Wan 2.6 API
Die Wan 2.6 API nutzt ein ausgefeiltes Identity-Lock-Framework, das über mehrere Szenen und Kamerawinkel hinweg hochkonsistente Charaktergesichter, Marken-Assets und detaillierte Texturen generiert. Sie hält sich strikt an Referenzeingaben und komplexe visuelle Richtlinien, was es Entwicklern ermöglicht, während automatisierter Massenproduktions-Workflows eine strenge Markenintegrität und IP-Kontinuität zu wahren. Dies macht die Wan 2.6 API ideal für das Management virtueller Influencer, die Erstellung episodischer Inhalte und hochpersonalisierte Marketingkampagnen.
Was Sie mit Wan 2.7 Video Models Tun Können
Entdecken Sie praktische Anwendungsfälle und Workflows, die Sie mit dieser Modellfamilie erstellen können — von Content-Erstellung und Automatisierung bis hin zu produktionsreifen Anwendungen.
Filmische Trailer und narrative Kurzfilme mit der Wan 2.6 API
Die Wan 2.6 API bietet dramatische Kameraphysik, präzise Kontinuität über mehrere Einstellungen hinweg und native Klanglandschaften – ideal für Film-Teaser, episodisches Storytelling und immersive visuelle Erzählungen. Von dynamischen Action-Sequenzen bis hin zu subtilen emotionalen Nahaufnahmen setzt das System komplexe Storyboards mit echter filmischer Wiedergabetreue um und ist damit eine hervorragende Wahl für unabhängige Filmemacher, Kreativagenturen und Unterhaltungsstudios.
Commercial Product Reveal and Branding with the Wan 2.6 Video API
The Wan Video API offers reliable lighting control, clean contours, and polished camera transitions—ideal for product unveilings, branded assets, and commercial motion content. From metallic surfaces to engineered objects, the system reproduces modern product aesthetics with clarity, making it a strong fit for e-commerce, marketing teams, and industrial designers.
Stylisierte Animation und VFX-Previsualisierung mit der Wan 2.6 V2V API
Die Wan 2.6 V2V API bietet nahtlose zeitliche Konsistenz, komplexen Stiltransfer und präzises Objekt-Tracking – ideal für die Umwandlung von Live-Action-Material in Anime, die Erstellung von Postproduktionsentwürfen und die Anwendung aufwendiger visueller Effekte. Von stilisiertem Cel-Shading bis hin zu hyperrealistischen Umgebungsaustauschen bewahrt das System die strukturelle Integrität über jeden Frame hinweg, was es zu einer starken Lösung für Animationsstudios, VFX-Künstler und Spieleentwickler macht.
Modellvergleich
Sehen Sie, wie sich Modelle verschiedener Anbieter vergleichen — Leistung, Preise und einzigartige Stärken für eine fundierte Entscheidung.
| Modell | Eingabetypen | Ausgabedauer | Auflösung | Audio-Generierung |
|---|---|---|---|---|
| Wan 2.6 | Text, Bild, Video, Audio | 4-15s | 2k,1080P, 720P, 480P | √ |
| Wan 2.5 | Text, Bild | 4-12s | 720P, 480P | √ |
| Sora 2 | Text, Bild | 5s;10s | 1080P, 720P, 480P | √ |
How to Use Wan 2.7 Video Models on Atlas Cloud
Get started in minutes — follow these simple steps to integrate and deploy models through Atlas Cloud’s platform.
Create an Atlas Cloud Account
Sign up at atlascloud.ai and complete verification. New users receive free credits to explore the platform and test models.
Warum Wan 2.7 Video Models auf Atlas Cloud Verwenden
Die Kombination der fortschrittlichen Wan 2.7 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 Wan 2.7 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.
Häufig gestellte Fragen zu Wan 2.7 Video Models
The model is scheduled for official release within March 2026.
Wan2.7 offers superior professional creative tools: it supports real-person image inputs, up to 5 video references, 1080P HD output, and flexible durations from 2 to 15 seconds.
Wan2.7 delivers a comprehensive leap in visual quality, audio synchronization, motion dynamics, stylization, and cross-frame consistency.
It supports first-and-last frame control, 3x3 grid image-to-video synthesis, and precise generation via subject and voice referencing.
It supports high-definition resolutions up to 1080P, with video durations flexibly adjustable between 2 and 15 seconds.
Weitere Familien Erkunden
Promote Models (Qwen)
Wan 2.7 Video 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.
Nano Banana 2 Image 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.
Seedream 5.0 Image 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.
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.
Kling 3.0 Video 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.
GLM LLM Models
GLM is a cutting-edge LLM series by Z.ai (Zhipu AI) featuring GLM-5, GLM-4.7, and GLM-4.6. Engineered for complex systems and long-horizon agentic tasks, GLM-5 outperforms top-tier closed-source models in elite benchmarks like Humanity’s Last Exam and BrowseComp. While GLM-4.7 specializes in reasoning, coding, and real-world intelligent agents, the entire GLM suite is fast, smart, and reliable, making it the ultimate tool for building websites, analyzing data, and delivering instant, high-quality answers for any professional workflow.
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.
Vidu Video Models
Vidu, a joint innovation by Shengshu AI and Tsinghua University, is a high-performance video model powered by the original U-ViT architecture that blends Diffusion and Transformer technologies. It delivers long-form, highly consistent, and dynamic video content tailored for professional filmmaking, animation design, and creative advertising. By streamlining high-end visual production, Vidu empowers creators to transform complex ideas into cinematic reality with unprecedented efficiency.
Van Video Models
Built on the Wan 2.5 and 2.6 frameworks, Van Model is a flagship AI video series that delivers superior high-resolution outputs with unmatched creative freedom. By blending cinematic 3D VAE visuals with Flow Matching dynamics, it leverages proprietary compute distillation to offer ultra-fast inference speeds at a fraction of the cost, making it the premier engine for scalable, high-frequency video production on a budget.
MiniMax LLM Models
As a premier suite of Large Language Models (LLMs) developed by MiniMax AI, MiniMax is engineered to redefine real-world productivity through cutting-edge artificial intelligence. The ecosystem features MiniMax M2.5, which is purpose-built for high-efficiency professional environments, and MiniMax M2.1, a model that offers significantly enhanced multi-language programming capabilities to master complex, large-scale technical tasks. By achieving SOTA performance in coding, agentic tool use, intelligent search, and office workflow automation, MiniMax empowers users to streamline a wide range of economically valuable operations with unparalleled precision and reliability.
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.
Promote Models (Qwen)
Wan 2.7 Video 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.
Nano Banana 2 Image 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.
Seedream 5.0 Image 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.
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.
Kling 3.0 Video 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.
GLM LLM Models
GLM is a cutting-edge LLM series by Z.ai (Zhipu AI) featuring GLM-5, GLM-4.7, and GLM-4.6. Engineered for complex systems and long-horizon agentic tasks, GLM-5 outperforms top-tier closed-source models in elite benchmarks like Humanity’s Last Exam and BrowseComp. While GLM-4.7 specializes in reasoning, coding, and real-world intelligent agents, the entire GLM suite is fast, smart, and reliable, making it the ultimate tool for building websites, analyzing data, and delivering instant, high-quality answers for any professional workflow.
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.
Vidu Video Models
Vidu, a joint innovation by Shengshu AI and Tsinghua University, is a high-performance video model powered by the original U-ViT architecture that blends Diffusion and Transformer technologies. It delivers long-form, highly consistent, and dynamic video content tailored for professional filmmaking, animation design, and creative advertising. By streamlining high-end visual production, Vidu empowers creators to transform complex ideas into cinematic reality with unprecedented efficiency.
Van Video Models
Built on the Wan 2.5 and 2.6 frameworks, Van Model is a flagship AI video series that delivers superior high-resolution outputs with unmatched creative freedom. By blending cinematic 3D VAE visuals with Flow Matching dynamics, it leverages proprietary compute distillation to offer ultra-fast inference speeds at a fraction of the cost, making it the premier engine for scalable, high-frequency video production on a budget.
MiniMax LLM Models
As a premier suite of Large Language Models (LLMs) developed by MiniMax AI, MiniMax is engineered to redefine real-world productivity through cutting-edge artificial intelligence. The ecosystem features MiniMax M2.5, which is purpose-built for high-efficiency professional environments, and MiniMax M2.1, a model that offers significantly enhanced multi-language programming capabilities to master complex, large-scale technical tasks. By achieving SOTA performance in coding, agentic tool use, intelligent search, and office workflow automation, MiniMax empowers users to streamline a wide range of economically valuable operations with unparalleled precision and reliability.
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.
