
Seedance 2.0 (Bytedance tarafından), metin veya başlangıç/bitiş karelerinin sınırlamalarının ötesine geçerek "kontrol edilebilir yaratımı" yeniden tanımlayan çok modlu bir video üretim modelidir. Metin, görüntü, video ve ses olmak üzere dört modlu girdileri destekler ve endüstri lideri bir "Evrensel Referans" (Universal Reference) sistemi sunar. Referans varlıklardan kompozisyonu, kamera hareketini ve karakter eylemlerini hassas bir şekilde kopyalayarak Seedance 2.0, karakter tutarlılığı ve fiziksel bütünlük ile ilgili kritik sorunları çözer ve yaratıcıların çıktıları üzerinde derin bir kontrole sahip gerçek "yönetmenler" olarak hareket etmelerini sağlar.
Atlas Cloud size sektörün en yeni ve önde gelen yaratıcı modellerini sunar.

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 size sektörün en yeni öncü yaratıcı modellerini sunar.

Görüntü, video, ses ve metin girişlerinin (12 dosyaya kadar) serbest kombinasyonunu destekleyerek yaratıcı boyutları büyük ölçüde genişletir.

Referans videolardan kamera dilini, karmaşık aksiyon ritimlerini ve yaratıcı efektleri doğru bir şekilde kopyalayan bir "Reference Everything" özelliğine sahiptir.

Birden fazla çekimde yüz hatlarının, kıyafet detaylarının, sahne stillerinin ve hatta kare içindeki küçük metinlerin mükemmel tutarlılığını korur.

Mevcut videolarda karakter değişimini, sorunsuz uzatmayı ve çoklu klip birleştirmeyi yerel olarak destekleyerek, sadece üretimi değil, sürekli çekimi de mümkün kılar.

Ritim referansı olarak ses yüklemeyi destekler ve otomatik olarak eşleşen yüksek kaliteli ses efektleri ve müzik oluşturabilir.

Teknik istemlere (promptlara) ihtiyaç duymadan, sadece bir referans videosu kullanarak Hitchcock zoom'u veya kesintisiz çekimler gibi karmaşık sinematik kamera hareketleri gerçekleştirir.
Atlas Cloud size sektörün en yeni öncü yaratıcı modellerini sunar.
Mevcut video kliplerden belirli kamera açılarını ve karakter hareketlerini referans alarak karmaşık sahneleri yönetin.
Görsel tutarlılıktan ödün vermeden görüntüleri sorunsuz bir şekilde düzenleyin, karakterleri değiştirin veya süreyi uzatın.
Görselleri müzik ritimleriyle senkronize ederek yüklenen ses dosyalarının temposuna uygun dinamik kurgular oluşturun.
Farklı sahnelerde ürün detaylarını ve metinleri hassasiyetle koruyarak tutarlı marka hikayeleri oluşturun.
Seedance 2.0 Video Models'in gelişmiş modellerinin Atlas Cloud'un GPU hızlandırmalı platformuyla birleşimi, benzersiz performans, ölçeklenebilirlik ve geliştirici deneyimi sunar.
Düşük Gecikme:
Gerçek zamanlı akıl yürütme için GPU optimize çıkarım.
Birleşik API:
Seedance 2.0 Video Models, GPT, Gemini ve DeepSeek'i tek entegrasyonla çalıştırın.
Şeffaf Fiyatlandırma:
Sunucusuz seçeneklerle öngörülebilir token tabanlı faturalandırma.
Geliştirici Deneyimi:
SDK'lar, analitik, ince ayar araçları ve şablonlar.
Güvenilirlik:
%99,99 kullanılabilirlik, RBAC ve uyumluluk için hazır günlükleme.
Güvenlik ve Uyumluluk:
SOC 2 Type II, HIPAA uyumluluğu, ABD'de veri egemenliği.
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.