Kling Video Models
Kling AI è un modello text-to-video sviluppato da Kuaishou che crea video realistici e di alta qualità partendo da prompt testuali. Si concentra su movimenti fluidi, fotogrammi stabili e scene dall'aspetto naturale. Kling funziona bene per brevi video, pubblicità e contenuti di marketing, aiutando i creatori a risparmiare tempo e ridurre i costi di produzione. Con elevate prestazioni in termini di coerenza e realismo video, Kling AI sta diventando una scelta popolare nel settore della generazione video AI.
Explore the Leading Kling Video Models
Atlas Cloud ti fornisce i più recenti modelli creativi leader del settore.
Kling v2.5 Turbo Pro Text-to-video
Delivers high-speed text-to-video generation with cinematic motion precision and enhanced temporal stability.
Kling v2.5 Turbo Pro Image-to-video
Transforms stills into lifelike video clips at 2× faster speed while preserving fine texture and lighting consistency.
Kling v2.1 i2v Pro Start-end-frame
Supports start-to-end frame conditioning for controlled motion continuity and smoother scene transitions.
Kling v1.6 Multi i2v Pro
Generates multi-subject video from images with improved coherence and advanced motion-tracking accuracy.
Kling v1.6 Multi i2v Standard
A cost-efficient option for basic image-to-video generation with balanced speed and detail.
Kling Effects
Adds post-processing and stylistic motion effects, expanding creative editing within Kling’s video suite.
kling v2.0 i2v Master
Produces cinematic 1080p clips with refined lighting, camera realism, and cross-frame character stability.
Kling Lipsync Text-to-Video
Animates lip movements directly from text, enabling natural dialogue and speech-aligned video synthesis.
Kling v2.1 t2v Master
Interprets complex text prompts with advanced motion logic and enhanced dynamic-camera rendering.
Kling v2.0 t2v Master
The foundational cinematic model combining high-fidelity visuals with realistic human motion generation.
Kling Lipsync audio-to-video
Synchronizes facial motion with real audio input for expressive, speech-driven video avatars.
Kling v2.1 i2v Master
Delivers professional-grade image-to-video generation with precise motion continuity and visual depth.
Kling v2.1 i2v Pro
Balances generation speed and fidelity, producing sharp, fluid image-to-video results for general creative use.
Kling v1.6 t2v Standard
Entry-level text-to-video generator offering stable motion and prompt alignment for short-form outputs.
Kling v1.6 i2v Pro
Upgraded image-to-video variant with smoother motion blending and improved texture realism.
Kling v2.1 i2v Standard
A fast, reliable 720p model optimized for quick visual drafts and efficient prototyping.
Kling v1.6 i2v Standard
Lightweight early-generation model providing foundational image-to-video conversion at minimal cost.
Kling Video O1 Video-edit-fast
Kling Omni Video O1 Video-Edit enables conversational video editing through natural language commands. Remove objects, change backgrounds, modify styles, adjust weather/lighting, and transform scenes with simple text instructions like 'remove pedestrians' or 'change daytime to dusk'. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.
Kling Video O1 Video-edit
Kling Omni Video O1 Video-Edit enables conversational video editing through natural language commands. Remove objects, change backgrounds, modify styles, adjust weather/lighting, and transform scenes with simple text instructions like 'remove pedestrians' or 'change daytime to dusk'. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.
Cosa Rende Speciale Kling Video Models
Atlas Cloud ti fornisce i più recenti modelli creativi leader del settore.
Advanced Prompt Comprehension
Accurately interprets complex text, actions, and camera cues for coherent, story-driven output.
Fluid, Realistic Motion
Enhanced spatiotemporal modeling produces natural character movement and cinematic flow.
4K-Level Visual Quality
Generates detailed 1080p and early-4K clips with stable lighting, texture, and depth.
Dynamic Scene Editing
Add, swap, or remove subjects and objects using simple text or image inputs.
Precise Frame Control
Adjust camera angles, timing, and transitions with frame-level accuracy.
Unified t2v + i2v Pipeline
Integrates text-to-video and image-to-video generation with seamless temporal consistency.
Cosa Puoi Fare con Kling Video Models
Atlas Cloud ti fornisce i più recenti modelli creativi leader del settore.
Generate realistic video sequences from simple text prompts.
Transform photos into expressive video clips with motion continuity.
Achieve scene-level coherence ideal for storytelling, advertising, and visual effects.
Produce 16:9, 9:16, or square-format cinematic outputs for social or production use.
Iterate fast between Standard, Pro, and Master modes to balance speed and quality.
Why Use Kling Video Models on Atlas Cloud
Combining the advanced Kling Video Models models with Atlas Cloud's GPU-accelerated platform provides unmatched performance, scalability, and developer experience.
Performance & flexibility
Low Latency:
GPU-optimized inference for real-time reasoning.
Unified API:
Run Kling Video Models, GPT, Gemini, and DeepSeek with one integration.
Transparent Pricing:
Predictable per-token billing with serverless options.
Enterprise & Scale
Developer Experience:
SDKs, analytics, fine-tuning tools, and templates.
Reliability:
99.99% uptime, RBAC, and compliance-ready logging.
Security & Compliance:
SOC 2 Type II, HIPAA alignment, data sovereignty in US.
Explore More Families
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.
