Text- and image-based video generation
Generate video from text prompts or use still images as visual anchors for coherent motion while preserving styles and key elements.
Kling AI is a multimodal creative studio for generating images and videos from text, images, and reference inputs. It also provides APIs for developers and enterprises that need image and video generation in products or workflows.
Kling AI is a multimodal creative platform for generating images and videos from text, images, and reference inputs. It combines a creator-facing studio with APIs for developers and enterprises integrating image and video generation into products or production workflows.
Its core purpose is to support visual ideation and production across generated video, cinematic still imagery, motion-controlled performances, avatars, and effects. The available workflows include text-to-video, image-to-video, multi-image or element references, image editing and outpainting, and batch-oriented image generation.
Generate video from text prompts or use still images as visual anchors for coherent motion while preserving styles and key elements.
Video workflows support multi-image, element, and video references. Kling 3.0 and 3.0 Omni are described as supporting intelligent storyboarding and precise prompt adherence.
Motion Control uses motion capture to reproduce character movement and facial expression. Avatar workflows accept character images and voice input to create performances with lip sync.
Image capabilities include text-to-image, image-to-image, multi-image reference generation, image outpainting, and image recognition.
Supported image models offer native 2K and 4K output, while storyboard image sequences and batch optimization are designed to improve consistency across larger visual systems.
The developer platform provides API documentation, an API console, model selection, usage queries, prepaid resource packages, and pricing that varies by model, resolution, and generation options.
Turn product images and descriptions into marketing videos, including product showcases, outfit or scene replacement, interaction demonstrations, and campaign assets.
Develop cinematic video concepts and storyboard image sequences using text prompts, reference elements, narrative image generation, and models with audio-video synchronization.
Create controllable character performances with motion capture, facial-expression control, uploaded character images, voice input, avatars, and lip sync.
Use image batch optimization and API-based generation to support repeatable visual workflows where model, resolution, and resource usage need to be managed.
Developers and enterprises can connect Kling’s image and video generation APIs to their own products or internal workflows rather than using the studio alone.
Kling AI supports generated images and videos. Listed workflows include text-to-video, image-to-video, multi-image and reference-based video, avatars, motion control, effects, text-to-image, image-to-image, outpainting, and image recognition.
Yes. The developer documentation describes multi-image, element, and video references for video workflows, and multi-image reference generation for image workflows.
Yes. Kling provides image and video APIs, documentation, an API console, model information, usage queries, and prepaid resource packages for developer and enterprise workflows.
The published API pricing lists video options at 720P, 1080P, and, for selected models, 4K. Image model pricing lists 1K and 2K options, with 4K listed for Kling Image 3.0 Omni.
API pricing is usage-based. Video models are priced per second and image models per image, with rates varying by model, resolution, input type, and options such as native audio. The pricing page also lists prepaid packages and custom-package inquiries.
Traffic data is for reference only.
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