Independent tool for generating videos with Kling AI models
Open-source SDXL-based AI model for native high-resolution anime art generation
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 for personal and research use; prohibits closed-source proprietary monetization
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
Native 1536x1536 high-resolution generation without upscaling
Hybrid Prompting System combining natural English and Danbooru tags
Stable text encoder fine-tuning for superior concept understanding
Trained on comprehensive Danbooru2023 dataset
Full compatibility with ComfyUI, Automatic1111, Forge, and Draw Things
Superior anatomy rendering with flawless hands and character details
V-Prediction architecture for enhanced dynamic range and contrast
Highly flexible base canvas for LoRA training and custom checkpoints
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
Only open-source SDXL model natively trained at 1536x1536 resolution
Stylistically neutral untuned base canvas unlike Pony Diffusion
Continuous rapid iterations from v0.1 to v3.5 with aggressive optimization
Thousands of compatible community-trained LoRAs and derivatives