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.
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| Modalité | Description |
|---|---|
| Seedance 2.0 T2V API (Text To Video) | L'API Seedance 2.0 T2V permet aux développeurs de transformer des invites textuelles en clips vidéo cinématographiques. En définissant les caméras, les scènes et les mouvements, elle génère un contenu fluide et synchronisé avec l'audio, optimisé pour le storyboarding professionnel, le marketing dynamique et la narration sur les réseaux sociaux. |
| Seedance 2.0 I2V API (Image To Video) | L'API Seedance 2.0 I2V transforme les images statiques en contenu vidéo dynamique tout en garantissant une préservation haute fidélité des identités et des styles originaux. Elle offre une solution puissante pour sublimer les portraits, les présentations de produits et la narration avec une précision cinématographique. |
| Seedance 2.0 V2V(R2V) API (Video To Video) | L'API Seedance 2.0 V2V (R2V) permet de restyler et d'éditer des vidéos, ainsi que de réaliser des extensions fluides et des fusions de clips sans effort. Elle capture le mouvement et le rythme d'origine tout en fournissant des outils intuitifs pour fusionner ou allonger des scènes avec des transitions douces, assurant un contrôle créatif total sur le montage vidéo et les effets visuels. |
Nouvelles fonctionnalités de Seedance 2.0 Models + Showcase
La combinaison de modèles avancés avec la plateforme accélérée par GPU d'Atlas Cloud offre une vitesse, une évolutivité et un contrôle créatif inégalés pour la génération d'images et de vidéos.
Capacités de référence multimodales via l'API Seedance 2.0
L'API Seedance 2.0 prend en charge des entrées mixtes allant jusqu'à 12 fichiers (image, vidéo, audio) pour comprendre en profondeur l'intention créative. En spécifiant "reference" ou "edit" dans les prompts, les utilisateurs peuvent reproduire avec précision le mouvement, le langage de la caméra, les effets et les paysages sonores de n'importe quelle source. C'est la solution ultime pour la synchronisation musicale rythmique, les transitions fluides et l'édition créative à fort impact.
Cohérence et stabilité extrêmes avec l'API Seedance 2.0
Seedance 2.0 améliore considérablement la compréhension des lois physiques et des instructions. Qu'il s'agisse des traits du visage, des détails vestimentaires ou du style visuel global, il maintient une grande uniformité tout au long du clip. C'est crucial pour le contenu long format et le storytelling de marque, assurant la continuité de l'IP du personnage et permettant enfin à la vidéo IA d'être utilisée pour des récits sérieux et des publicités commerciales.
Synchronisation audiovisuelle et alignement rythmique via l'API Seedance 2.0
Seedance 2.0 assure une synchronisation native haute fidélité entre le mouvement visuel et des couches audio complexes. En alignant précisément des actions physiques complexes sur des rythmes et des fréquences vocales, il garantit une harmonie parfaite entre le son et la scène. Cette capacité est essentielle pour tout contenu rythmé, des spots publicitaires dynamiques et performances numériques à la narration cinématographique immersive où chaque image doit respirer avec le son.
Ce Que Vous Pouvez Faire avec Seedance 2.0 Models
Découvrez les cas d'usage pratiques et les workflows que vous pouvez créer avec cette famille de modèles — de la création de contenu et l'automatisation aux applications de niveau production.
Présentation haute fidélité de mode et de produits avec l'API Seedance 2.0
L'API Seedance 2.0 excelle dans la transformation d'images de produits statiques en séquences cinématographiques de haute couture. En préservant les textures complexes des vêtements, les détails des personnages et l'esthétique de la marque, le modèle assure une cohérence visuelle à travers les mouvements dynamiques et les changements d'éclairage. Idéal pour le commerce électronique haut de gamme, les lookbooks numériques et la narration des marques de luxe où une identité visuelle haute fidélité est primordiale.
Continuité narrative pilotée par les personnages utilisant l'API Seedance 2.0
Pour une narration complexe, Seedance 2.0 offre une stabilité inégalée en matière d'IP de personnage et d'environnements physiques. Les développeurs peuvent maintenir une uniformité stricte des traits du visage et des vêtements sur plusieurs plans, en respectant des lois physiques cohérentes et des instructions de mise en scène. Ce cas d'usage est parfait pour les courts métrages d'animation, le contenu social sérialisé et les récits cinématographiques pilotés par l'IA nécessitant une continuité de qualité professionnelle.
Synchronisation rythmique et musicale de précision avec l'API Seedance 2.0
Tirant parti de l'intégration audiovisuelle native, l'API Seedance 2.0 synchronise les mouvements visuels complexes avec des signaux audio rythmiques. Du doigté précis des instruments lors d'une performance de groupe au calage rythmique énergique dans les vidéos de danse, le modèle aligne parfaitement les fréquences de mouvement sur les paysages sonores. Cela convient à la production de clips musicaux, aux publicités sociales rythmées et aux performances numériques immersives.
Comparaison des Modèles
Découvrez comment les modèles de différents fournisseurs se comparent — performance, tarification et atouts uniques pour une décision éclairée.
| Modèle | Types d'entrée | Durée de la sortie | Résolution | Génération audio |
|---|---|---|---|---|
| Seedance 2.0 | Texte, Image, Vidéo, Audio | 4~15s | 720P, 480P | √ |
| Seedance 1.5 Pro | Texte, Image | 4~12s | 720P, 480P | √ |
| Seedance 1.0 Pro | Texte, Image | 5s;10s | 1080P, 720P, 480P | √ |
| Seedance 1.0 Lite | Texte, Image | 5s;10s | 1080P, 720P, 480P | √ |
| Kling 3.0 | Texte, Image, Vidéo, Audio | 3~15s | 720P | √ |
| Veo 3.1 | Texte, Image | 4s;6s;8s | 1080P, 720P | √ |
| Wan 2.6 | Texte, Image, Vidéo, Audio | 5s;10s;15s | 1080P, 720P | √ |
How to Use Seedance 2.0 Models on Atlas Cloud
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Pourquoi Utiliser Seedance 2.0 Models sur Atlas Cloud
Combiner les modèles Seedance 2.0 Models avancés avec la plateforme accélérée par GPU d'Atlas Cloud offre des performances, une évolutivité et une expérience développeur inégalées.
Performance et Flexibilité
Faible Latence :
Inférence optimisée par GPU pour un raisonnement en temps réel.
API Unifiée :
Exécutez Seedance 2.0 Models, GPT, Gemini et DeepSeek avec une seule intégration.
Tarification Transparente :
Facturation prévisible par token avec options serverless.
Entreprise et Échelle
Expérience Développeur :
SDK, analytiques, outils de fine-tuning et modèles.
Fiabilité :
99,99% de disponibilité, RBAC et journalisation conforme.
Sécurité et Conformité :
SOC 2 Type II, alignement HIPAA, souveraineté des données aux États-Unis.
Questions Fréquentes sur Seedance 2.0 Models
Seedance 2.0 offre une flexibilité créative maximale, prenant en charge nativement un large éventail de formats d'image, notamment 21:9, 16:9, 4:3, 1:1, 3:4 et 9:16. La durée de la vidéo est entièrement personnalisable entre 4 et 15 secondes, répondant à tous les besoins, des extraits pour réseaux sociaux aux storyboards cinématographiques professionnels.
Cette fonctionnalité permet une entrée mixte de jusqu'à 12 fichiers (images, vidéos et audio) pour guider le processus de génération. En spécifiant "reference" dans vos prompts, le modèle peut reproduire précisément la composition d'une image ou le rythme de mouvement et le langage de la caméra d'une vidéo source.
Oui. Seedance 2.0 intègre une synchronisation audiovisuelle native haute fidélité. Il ne se contente pas de générer des paysages sonores assortis ; il aligne des mouvements physiques complexes — tels que le doigté des instruments ou les pas de danse — avec les rythmes et les fréquences vocales. Cela garantit que chaque image correspond parfaitement au tempo audio.
Explorer Plus de Familles
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.
