
Seedance 2.0(Bytedance製)は、「制御可能な生成(controllable creation)」を再定義するマルチモーダル動画生成モデルであり、テキストや開始・終了フレームの制約を超越します。テキスト、画像、動画、音声の4つのモダリティ入力に対応し、業界をリードする「ユニバーサル・リファレンス」システムを導入しています。参照素材の構図、カメラワーク、キャラクターの動作を正確に再現することで、Seedance 2.0はキャラクターの一貫性や物理的な整合性といった重要な課題を解決し、クリエイターが真の「監督」として出力結果を詳細に制御できるよう支援します。
Atlas Cloudは、業界をリードする最新のクリエイティブモデルを提供します。

Native audio-visual joint generation model by ByteDance. Supports unified multimodal generation with precise audio-visual sync, cinematic camera control, and enhanced narrative coherence.

Native audio-visual joint generation model by ByteDance. Supports unified multimodal generation with precise audio-visual sync, cinematic camera control, and enhanced narrative coherence.

Native audio-visual joint generation model by ByteDance. Supports unified multimodal generation with precise audio-visual sync, cinematic camera control, and enhanced narrative coherence.

Native audio-visual joint generation model by ByteDance. Supports unified multimodal generation with precise audio-visual sync, cinematic camera control, and enhanced narrative coherence.
Atlas Cloudは、業界をリードする最新のクリエイティブモデルを提供します。

画像、動画、音声、テキスト入力の自由な組み合わせ(最大12ファイル)をサポートし、クリエイティブな次元を大幅に拡張します。

「Reference Everything」機能を搭載し、参照ビデオからカメラワーク、複雑なアクションのリズム、クリエイティブなエフェクトを正確に再現します。

複数のショットにわたり、顔の特徴、衣服の細部、シーンのスタイル、さらにはフレーム内の小さなテキストに至るまで、完璧な一貫性を維持します。

既存の動画におけるキャラクター置換、スムーズな拡張、マルチクリップ融合をネイティブにサポートし、単なる生成だけでなく、連続した撮影を可能にします。

リズムリファレンスとしてのオーディオアップロードをサポートし、マッチする高品質な効果音と音楽を自動生成できます。

テクニカルなプロンプトを必要とせず、参照ビデオを使用するだけで、ヒッチコック・ズームや長回しのような複雑で映画的なカメラワークを実現します。
Atlas Cloudは、業界をリードする最新のクリエイティブモデルを提供します。
既存のビデオクリップから特定のカメラアングルやキャラクターの動きを参照して、複雑なシーンを演出できます。
映像の違和感なくシームレスに編集。一貫したビジュアル品質を保ちながら、キャラクターの置き換えや動画の尺を延長できます。
ビジュアルを音楽のビートに同期させ、アップロードされたオーディオの際立つリズムに合わせたダイナミックな編集を実現します。
あらゆるシーンで製品のディテールとテキストを正確に保ちながら、一貫性のあるブランドストーリーを創出します。
高度なSeedance 2.0 Video ModelsモデルとAtlas CloudのGPU加速プラットフォームを組み合わせることで、比類のないパフォーマンス、スケーラビリティ、開発者エクスペリエンスを提供。
低レイテンシ:
リアルタイム推論のためのGPU最適化推論。
統合API:
1つの統合でSeedance 2.0 Video Models、GPT、Gemini、DeepSeekを実行。
透明な料金:
サーバーレスオプション付きの予測可能なtoken単位の課金。
開発者エクスペリエンス:
SDK、分析、ファインチューニングツール、テンプレート。
信頼性:
99.99%の稼働率、RBAC、コンプライアンス対応ロギング。
セキュリティとコンプライアンス:
SOC 2 Type II、HIPAA準拠、米国内のデータ主権。
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 (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 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 (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.
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.
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 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 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.
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.
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 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.
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.