Kling AI, the new generation of AI creative productivity tools, is based on the image generation @Kolors and video generation @Kling technology independently developed by Kuaishou's Large Model Algorithm Team, providing a wealth of AI images, AI videos, and related controllable editing capabilities.
●For creators (individuals/enterprises), it provides an online creation platform and tools on the web and mobile devices.
●For developers (individuals/enterprises), it offers API solutions.
2.The Advantages of Kling AI
Powerful Image Generation Capabilities
"The Most Proficient Chinese Image Generation Model" :
Trained on a large language model (LLM) and billions of Chinese corpora, with comprehensive metrics surpassing open-source models like SDXL/SD3 and closed-source models like Midjourney, achieving state-of-the-art (SOTA) performance in Chinese scenarios.
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Supports user input text freelyto control the content of image generation. Diverse Styles | Exquisite Image Quality | Full of Creativity | Supports users uploading reference images and specifying the model's reference strength when generating images. Consistent with the Prompts | Reference Image Consistency | Support users to merge elements from multiple images into a new image, supporting subject, scene, and style references Multi image fusion | Subject consistency | Support custom ratios and expansion-only saving, broadening the visual field and enriching creative materials Modify any aspect ratio | Customize expansion content |
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"A white-haired man floating on the water, minimalist style, large areas of blue, animated art style, bright color palette, trendy, deep white and amber tones, loose brushstrokes, deep white and light sky blue, mysterious, detailed painting, Korean aesthetic." | ![]() | ![]() | ![]() |
Highlight 1 Powerful Semantic Understanding Capability Continuous innovation in text representation and refined alignment of image-text data | | | |
![]() A stylish Chinese woman on the streets of Shanghai, sunlight shining on her. She is wearing a black leather jacket, a red long skirt, carrying a black backpack, wearing sunglasses, with red lipstick on, walking confidently and casually | | | |
Highlight 2 Cinematographic Image Texture Quality Multi-stage progressive training, reinforcement learning and refined alignment of human aesthetics | | | |
![]() Cinematic image quality, the azure lake water reflects the pure white feathers of two swans, with continuous and clear snow-capped mountains in the distance, forming reflections on the water surface, creating a symmetrical image. The scene is captured with a camera-like quality, using a large aperture, high contrast, and high saturation | | | |
Highlight 3 Control Generation Under Multiple Conditions Conditional combination generation, especially the preservation of portraits and the ability to incorporate text into images | | | |
![]() Oil painting style, the Bund in Shanghai, clear blue sky, Monet's painting style, dreamy and hazy, Morandi color palette, Impressionist, light and shadow, fresh colors, rich in details, a masterpiece | | | |
