Independent tool for generating videos with Kling AI models
High-fidelity photorealistic AI image generation with natural prompting
Stage
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Founded
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Based in
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Pricing model
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Open source
Pricing
Starter plan: $19.90 for 200 credits. Plus plan: $49.90 for 600 credits (most popular). Professional plan: $99.90 for 1,300 credits. Models charge per second: Kling 2.6 Standard and Avatar 2.0 Standard from $0.077–$0.100 per second; Kling 3.0 Standard from $0.231–$0.298; Kling 3.0 Pro from $0.307–$0
Free and open source
Key features
Text to video generation creating cinematic videos from prompts
Image to video with motion control around static images
Video Omni for reference-based editing with images, video and audio input
Motion control to transfer performance from reference clips
Avatar generation from photos and audio for talking or singing videos
Video effects with ready-made templates for transformations and transitions
Support for up to 4K resolution with 10-bit HDR on Kling 4.0
Multi-shot sequences with up to 10 keyframes for scene control
Support for native audio generation with multilingual lip-sync
Up to 15 reference items for character and scene consistency
High-fidelity skin and eye rendering with fine pores and light reflections
Robust composition coherence for multi-subject scenes and action shots
Baked-in VAE with optimized color tuning
Simple natural language prompting without complex templates
Compatible with ComfyUI, Automatic1111, and Forge
Works with popular SDXL ControlNets and IP-Adapters
Thousands of compatible LoRAs available
Optimized CFG sensitivity for high quality at lower scales
Natural light scattering and structural accuracy
Experimental Catalyst branch for continuous model evolution
What makes it different
All Kling models accessible from one prompt box with side-by-side comparison
Pay per second of output with no monthly subscription or credit expiration
Source-backed specifications with vendor documentation links
Independent platform not affiliated with or endorsed by Kuaishou
Minimal prompting complexity with natural language descriptions instead of complex embeddings
Eliminates artificial AI textures and generic rendering artifacts
Open-source with commercial use permissions
Seamless integration into existing AI image generation workflows
Continuously refined through community feedback and experimental development