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.
Erkunden Sie die Führenden Modelle
Atlas Cloud bietet Ihnen die neuesten branchenführenden kreativen Modelle.
Spitzengeschwindigkeit
Niedrigste Kosten
| Modalität | Beschreibung |
|---|---|
| Seedance 2.0 T2V API (Text To Video) | Die Seedance 2.0 T2V API ermöglicht es Entwicklern, Text-Prompts in kinoreife Videoclips zu verwandeln. Durch die Definition von Kameras, Szenen und Bewegungen generiert sie flüssige, audiosynchrone Inhalte, die für professionelles Storyboarding, dynamisches Marketing und Storytelling in sozialen Medien optimiert sind. |
| Seedance 2.0 I2V API (Image To Video) | Die Seedance 2.0 I2V API wandelt statische Bilder in dynamische Videoinhalte um und gewährleistet dabei eine High-Fidelity-Bewahrung der ursprünglichen Identitäten und Stile. Sie bietet eine leistungsstarke Lösung zur Aufwertung von Porträts, Produktpräsentationen und narrativem Storytelling mit filmischer Präzision. |
| Seedance 2.0 V2V(R2V) API (Video To Video) | Die Seedance 2.0 V2V (R2V) API ermöglicht müheloses Video-Restyling, Videobearbeitung, nahtlose Erweiterungen und Clip-Überblendungen. Sie erfasst die ursprüngliche Bewegung und das Tempo und bietet gleichzeitig intuitive Werkzeuge, um Szenen mit weichen Übergängen zusammenzufügen oder zu verlängern, wodurch volle kreative Kontrolle über Videobearbeitung und visuelle Effekte gewährleistet wird. |
Neue Funktionen von Seedance 2.0 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.
Multimodale Referenzfunktionen unter Verwendung der Seedance 2.0 API
Die Seedance 2.0 API unterstützt gemischte Eingaben von bis zu 12 Dateien (Bild, Video, Audio), um die kreative Absicht tiefgehend zu verstehen. Durch die Angabe von "reference" oder "edit" in den Prompts können Benutzer Bewegungen, Kamerasprache, Effekte und Klanglandschaften aus jeder Quelle präzise replizieren. Es ist die ultimative Lösung für rhythmische Musiksynchronisation, nahtlose Übergänge und wirkungsvolle kreative Bearbeitung.
Extreme Konsistenz & Stabilität durch die Seedance 2.0 API
Seedance 2.0 verbessert das Verständnis von physikalischen Gesetzen und Anweisungen erheblich. Ob Gesichtszüge, Kleidungsdetails oder der gesamte visuelle Stil – es wird eine hohe Einheitlichkeit im gesamten Clip beibehalten. Dies ist entscheidend für Langform-Inhalte und Brand Storytelling, sichert die Kontinuität der Charakter-IP und ermöglicht endlich den Einsatz von KI-Videos für ernsthafte Erzählungen und kommerzielle Werbung.
Audiovisuelle Synchronisation & Beat-Matching mit der Seedance 2.0 API
Seedance 2.0 liefert eine native High-Fidelity-Synchronisation zwischen visueller Bewegung und komplexen Audioebenen. Durch die präzise Ausrichtung komplizierter physischer Aktionen auf rhythmische Beats und Vokalfrequenzen wird eine perfekte Harmonie zwischen Ton und Szene gewährleistet. Diese Fähigkeit ist für alle rhythmusgesteuerten Inhalte unerlässlich – von energiegeladenen Werbespots und digitalen Performances bis hin zu immersivem filmischem Storytelling, bei dem jeder Frame mit dem Sound atmen muss.
Was Sie mit Seedance 2.0 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.
High-Fidelity-Mode- und Produktpräsentation mit der Seedance 2.0 API
Die Seedance 2.0 API zeichnet sich dadurch aus, statische Produktbilder in cineastische High-Fashion-Sequenzen zu verwandeln. Durch die Bewahrung komplexer Kleidungsstrukturen, Charakterdetails und der Markenästhetik gewährleistet das Modell visuelle Konsistenz bei dynamischen Bewegungen und Lichtwechseln. Ideal für High-End-E-Commerce, digitale Lookbooks und das Storytelling von Luxusmarken, bei denen eine High-Fidelity-Identität von größter Bedeutung ist.
Charaktergesteuerte narrative Kontinuität mit der Seedance 2.0 API
Für komplexes Storytelling bietet Seedance 2.0 unübertroffene Stabilität bei der Charakter-IP und in physischen Umgebungen. Entwickler können eine strikte Einheitlichkeit der Gesichtszüge und Kleidung über mehrere Einstellungen hinweg beibehalten und dabei konsistente physikalische Gesetze und Regieanweisungen einhalten. Dieser Anwendungsfall eignet sich perfekt für animierte Kurzfilme, serialisierte soziale Inhalte und KI-gesteuerte filmische Erzählungen, die eine Kontinuität auf professionellem Niveau erfordern.
Präzise rhythmische und musikalische Synchronisierung mit der Seedance 2.0 API
Durch die Nutzung nativer audiovisueller Integration synchronisiert die Seedance 2.0 API komplexe visuelle Bewegungen mit rhythmischen Audio-Hinweisen. Von präzisem Fingersatz bei Instrumenten in einer Band-Performance bis hin zu energiegeladenem Beat-Matching in Tanzvideos richtet das Modell Bewegungsfrequenzen perfekt auf Klanglandschaften aus. Dies eignet sich für Musikvideoproduktionen, rhythmusgesteuerte Social-Ads und immersive digitale Performances.
Modellvergleich
Sehen Sie, wie sich Modelle verschiedener Anbieter vergleichen — Leistung, Preise und einzigartige Stärken für eine fundierte Entscheidung.
| Modell | Eingabetypen | Ausgabedauer | Auflösung | Audio-Generierung |
|---|---|---|---|---|
| Seedance 2.0 | Text, Bild, Video, Audio | 4~15s | 720P, 480P | √ |
| Seedance 1.5 Pro | Text, Bild | 4~12s | 720P, 480P | √ |
| Seedance 1.0 Pro | Text, Bild | 5s;10s | 1080P, 720P, 480P | √ |
| Seedance 1.0 Lite | Text, Bild | 5s;10s | 1080P, 720P, 480P | √ |
| Kling 3.0 | Text, Bild, Video, Audio | 3~15s | 720P | √ |
| Veo 3.1 | Text, Bild | 4s;6s;8s | 1080P, 720P | √ |
| Wan 2.6 | Text, Bild, Video, Audio | 5s;10s;15s | 1080P, 720P | √ |
How to Use Seedance 2.0 Models on Atlas Cloud
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Warum Seedance 2.0 Models auf Atlas Cloud Verwenden
Die Kombination der fortschrittlichen Seedance 2.0 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 Seedance 2.0 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 Seedance 2.0 Models
Seedance 2.0 bietet maximale kreative Flexibilität und unterstützt nativ eine breite Palette von Seitenverhältnissen, darunter 21:9, 16:9, 4:3, 1:1, 3:4 und 9:16. Die Videodauer ist zwischen 4 und 15 Sekunden vollständig anpassbar und deckt alles ab, von Social-Media-Snippets bis hin zu professionellen filmischen Storyboards.
Diese Funktion ermöglicht eine gemischte Eingabe von bis zu 12 Dateien (Bilder, Videos und Audio), um den Generierungsprozess zu steuern. Durch die Angabe von "reference" in Ihren Prompts kann das Modell die Komposition eines Bildes oder den Bewegungsrhythmus und die Kamerasprache eines Quellvideos präzise replizieren.
Ja. Seedance 2.0 bietet native, hochauflösende audiovisuelle Synchronisation. Es generiert nicht nur passende Klanglandschaften; es richtet komplexe physische Bewegungen – wie Instrumentengriffe oder Tanzschritte – an rhythmischen Beats und Vokalfrequenzen aus. Dies stellt sicher, dass jeder Frame perfekt zum Audiotempo passt.
Weitere Familien Erkunden
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
