Seedream Image Models
Seedream, ByteDance tarafından geliştirilen, metin ve referans görüntüleri hızlı performans ve zengin yaratıcı kontrol ile yüksek kaliteli, profesyonel görsellere dönüştürmek için tasarlanmış gelişmiş bir yapay zeka görüntü oluşturma modelidir. Metinden görüntüye (text-to-image) oluşturma ve sezgisel görüntü düzenlemeyi tek bir iş akışında birleştirerek, çoklu görüntü referansını ve tutarlı stil çıktılarını destekler. Seedream, ultra hızlı, yüksek çözünürlüklü görüntüler (4K'ya kadar) sunar ve ayrıntılı render alma konusunda mükemmeldir; bu da onu tasarımcılar, pazarlamacılar ve içerik oluşturucular için ideal hale getirir.
Önde Gelen Modelleri Keşfedin
Atlas Cloud size sektörün en yeni ve önde gelen yaratıcı modellerini sunar.
Seedream v4.5
ByteDance latest image generation model achieving all-round improvements. Excels at typography, poster design, and brand visual creation with superior prompt adherence.
Seedream v4.5 Edit
ByteDance advanced image editing model that preserves facial features, lighting, and color tones while enabling professional-quality modifications.
Seedream v4.5 Sequential
ByteDance latest image generation model with batch generation support. Generate up to 15 images in a single request.
Seedream v4.5 Edit Sequential
ByteDance advanced image editing model with batch generation support. Edit multiple images while preserving facial features and details.
Seedream v4
Open and Advanced Large-Scale Image Generative Models.
Seedream v4 Sequential
Open and Advanced Large-Scale Image Generative Models.
Seedream v4 Edit
Open and Advanced Large-Scale Image Generative Models.
Seedream v4 Edit Sequential
Open and Advanced Large-Scale Image Generative Models.
Seedream v3.1
Open and Advanced Large-Scale Image Generative Models.
Seedream V3
ByteDance Seedream V3 is a state-of-the-art text-to-image model that excels in generating high-quality, photorealistic images with exceptional detail and artistic flair.
Seedream Image Models'i Öne Çıkaran Nedir
Atlas Cloud size sektörün en yeni öncü yaratıcı modellerini sunar.
Görüntü Sentezi
Seedream v3–v4 modellerini kullanarak metin istemlerinden görseller oluşturur.
Doğrudan Düzenlemeler
Seedream v4/edit uç noktası aracılığıyla görüntüleri iyileştirir.
Sıralı Düzenlemeler
Applies step-by-step changes with edit-sequential model.
Sıralı Çıktı
Sıralı üretim ile çok adımlı sonuçlar sağlar.
Sürüm Seçenekleri
Farklı ihtiyaçları karşılamak için v3, v3.1 ve v4 varyantları sunar.
Görüntü Girdileri
Düzenleme modelleri, mevcut bir görüntüyü girdi olarak alabilir ve istemlerle (prompts) iyileştirebilir.
Seedream Image Models ile Neler Yapabilirsiniz
Atlas Cloud size sektörün en yeni öncü yaratıcı modellerini sunar.
Yüksek çözünürlüklü pazarlama görselleri, ürün fotoğrafları veya yaratıcı içerikler oluşturun.
Kare kare kontrol ile tasarımları düzenleyin ve yineleyin.
Metin istemlerinden sanatsal konseptler veya fotogerçekçi renderlar oluşturun.
Reklamcılık, moda ve tasarım için ölçeklenebilir görüntü iş akışları oluşturun.
Atlas Cloud'da Seedream Image Models'i Neden Kullanmalı
Seedream Image Models'in gelişmiş modellerinin Atlas Cloud'un GPU hızlandırmalı platformuyla birleşimi, benzersiz performans, ölçeklenebilirlik ve geliştirici deneyimi sunar.
Performans ve Esneklik
Düşük Gecikme:
Gerçek zamanlı akıl yürütme için GPU optimize çıkarım.
Birleşik API:
Seedream Image Models, GPT, Gemini ve DeepSeek'i tek entegrasyonla çalıştırın.
Şeffaf Fiyatlandırma:
Sunucusuz seçeneklerle öngörülebilir token tabanlı faturalandırma.
Kurumsal ve Ölçekleme
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.
Daha Fazla Aile Keşfedin
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.
Vidu Video Models
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 LLM Models
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 LLM Models
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.
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.
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.
Van Video Models
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 3.0 Video Models
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.
Veo3.1 Video Models
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.
Sora-2 Video Models
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 Image Models
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.
Wan2.6 Video Models
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.
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.
Vidu Video Models
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 LLM Models
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 LLM Models
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.
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.
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.
Van Video Models
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 3.0 Video Models
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.
Veo3.1 Video Models
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.
Sora-2 Video Models
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 Image Models
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.
Wan2.6 Video Models
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.
