Kling 3.0 Video Models
Kling AI Video 3.0 (by Kuaishou)은 독창적인 Single-pass 아키텍처를 통해 소리와 시각의 세계를 연결하도록 설계된 획기적인 모델입니다. 비주얼, 자연스러운 내레이션, 음향 효과 및 주변 분위기를 동시에 생성함으로써 기존 도구의 단절된 워크플로를 제거합니다. 이러한 진정한 시청각 통합은 복잡한 후반 작업을 간소화하여 크리에이터에게 몰입형 스토리텔링 솔루션을 제공하며, 창의적 깊이와 출력 효율성을 모두 크게 향상시킵니다.
주요 모델 탐색
Atlas Cloud는 업계 최고의 최신 크리에이티브 모델을 제공합니다.
Kling v2.6 Pro Avatar
Kling V2 AI Avatar Pro generates high-quality AI avatar videos with clean detail, stable motion, and strong identity consistency—ideal for profiles, intros, and social content.
Kling v2.6 Std Avatar
Kling AI Avatar generates high-quality AI avatar videos for profiles, intros, and social content, delivering clean detail and cinematic motion with reliable prompt adherence.
Kling v2.6 Pro Motion Control
Kling 2.6 Pro Motion Control turns reference motion clips (dance, action, gesture) into smooth, realistic animations. Upload a character image (or source video) and a motion video; the model transfers the movement while preserving identity and temporal consistency.
Kling v2.6 Std Motion Control
Kling 2.6 Standard Motion Control transfers motion from reference videos to animate still images. Upload a character image and a motion clip (dance, action, gesture), and the model extracts the movement to generate smooth, realistic video.
Kling v2.6 Pro Text-to-Video
Latest text-to-video model from Kuaishou with sound generation, flexible aspect ratios, and cinematic quality.
Kling v2.6 Pro Image-to-Video
Latest image-to-video model from Kuaishou with sound generation, enhanced dynamics, and cinematic quality.
Kling Video O1 Image-to-video
Kling Omni Video O1 Image-to-Video transforms static images into dynamic cinematic videos using MVL (Multi-modal Visual Language) technology. Maintains subject consistency while adding natural motion, physics simulation, and seamless scene dynamics. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.
Kling Video O1 Reference-to-video
Kling Omni Video O1 Reference-to-Video generates creative videos using character, prop, or scene references from multiple viewpoints. Extracts subject features and creates new video content while maintaining identity consistency across frames. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.
Kling Video O1 Text-to-video
Kling Omni Video O1 is Kuaishou's first unified multi-modal video model with MVL (Multi-modal Visual Language) technology. Text-to-Video mode generates cinematic videos from text prompts with subject consistency, natural physics simulation, and precise semantic understanding. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.
Kling 3.0 Video Models의 주요 특징
Atlas Cloud는 업계 최고의 최신 크리에이티브 모델을 제공합니다.
고급 프롬프트 이해
복잡한 텍스트, 동작 및 카메라 큐를 정확하게 해석하여 일관성 있고 스토리 중심의 결과를 생성합니다.
부드럽고 현실적인 모션
향상된 시공간 모델링은 자연스러운 캐릭터 움직임과 영화 같은 흐름을 생성합니다.
4K급 화질
안정적인 조명, 텍스처 및 깊이감을 갖춘 상세한 1080p 및 초기 4K 클립을 생성합니다.
동적 장면 편집
간단한 텍스트나 이미지 입력을 사용하여 피사체와 객체를 추가, 교체 또는 제거할 수 있습니다.
정밀 프레임 제어
프레임 단위의 정밀도로 카메라 앵글, 타이밍 및 트랜지션을 조정합니다.
정밀 프레임 제어
프레임 단위의 정밀도로 카메라 앵글, 타이밍 및 전환 효과를 조정합니다.
Kling 3.0 Video Models으로 할 수 있는 일
Atlas Cloud는 업계 최고의 최신 크리에이티브 모델을 제공합니다.
간단한 텍스트 프롬프트로 사실적인 비디오 시퀀스를 생성하세요.
사진을 움직임의 연속성이 돋보이는 표현력 풍부한 비디오 클립으로 변환하세요.
스토리텔링, 광고 및 시각 효과(VFX)에 최적화된 장면 수준의 일관성을 구현하세요.
소셜 미디어 또는 전문 제작용으로 16:9, 9:16, 또는 정사각형 포맷의 시네마틱한 결과물을 생성하세요.
Standard, Pro, Master 모드를 빠르게 전환하여 속도와 품질의 균형을 맞추세요.
Atlas Cloud에서 Kling 3.0 Video Models을(를) 사용하는 이유
고급 Kling 3.0 Video Models 모델과 Atlas Cloud의 GPU 가속 플랫폼을 결합하여 비교할 수 없는 성능, 확장성 및 개발자 경험을 제공합니다.
성능 및 유연성
낮은 지연 시간:
실시간 추론을 위한 GPU 최적화 추론.
통합 API:
하나의 통합으로 Kling 3.0 Video Models, GPT, Gemini 및 DeepSeek를 실행합니다.
투명한 가격:
Serverless 옵션을 포함한 예측 가능한 token당 청구.
엔터프라이즈 및 확장
개발자 경험:
SDK, 분석, 파인튜닝 도구 및 템플릿.
신뢰성:
99.99% 가동 시간, RBAC 및 규정 준수 로깅.
보안 및 규정 준수:
SOC 2 Type II, HIPAA 준수, 미국 내 데이터 주권.
더 많은 패밀리 탐색
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.
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.
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.
Kling O3 Video Models
Kling AI Video O3 (by Kuaishou) is an unified multimodal video model designed to unlock endless creative possibilities through its advanced MVL architecture. By integrating videos, images, and text descriptions, it offers a more intuitive and efficient workflow than traditional tools, enabling creators to transform complex intentions into high-quality cinematic content with ease.
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.
Seedance 1.5 Video Models
Seedance 1.5 (by ByteDance) is an advanced AI video generation model designed for high-quality, cinematic video creation with synchronized audio. It supports text-to-video and image-to-video generation with smooth motion, cohesive storytelling, and reliable visual consistency. Unlike traditional tools that add sound later, Seedance 1.5 can produce videos with natural audio-visual alignment, making it ideal for creators, marketers, and social media content workflows. Its balanced performance and ease of use help lower production cost and speed up content output.
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.
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.
Flux.2 Image Models
The Flux.2 Series is a comprehensive family of AI image generation models. Across the lineup, Flux supports text-to-image, image-to-image, reconstruction, contextual reasoning, and high-speed creative workflows.
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.
Image and Video Tools
Open, advanced large-scale image generative models that power high-fidelity creation and editing with modular APIs, reproducible training, built-in safety guardrails, and elastic, production-grade inference at scale.
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.
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.
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.
Kling O3 Video Models
Kling AI Video O3 (by Kuaishou) is an unified multimodal video model designed to unlock endless creative possibilities through its advanced MVL architecture. By integrating videos, images, and text descriptions, it offers a more intuitive and efficient workflow than traditional tools, enabling creators to transform complex intentions into high-quality cinematic content with ease.
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.
Seedance 1.5 Video Models
Seedance 1.5 (by ByteDance) is an advanced AI video generation model designed for high-quality, cinematic video creation with synchronized audio. It supports text-to-video and image-to-video generation with smooth motion, cohesive storytelling, and reliable visual consistency. Unlike traditional tools that add sound later, Seedance 1.5 can produce videos with natural audio-visual alignment, making it ideal for creators, marketers, and social media content workflows. Its balanced performance and ease of use help lower production cost and speed up content output.
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.
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.
Flux.2 Image Models
The Flux.2 Series is a comprehensive family of AI image generation models. Across the lineup, Flux supports text-to-image, image-to-image, reconstruction, contextual reasoning, and high-speed creative workflows.
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.
Image and Video Tools
Open, advanced large-scale image generative models that power high-fidelity creation and editing with modular APIs, reproducible training, built-in safety guardrails, and elastic, production-grade inference at scale.
