Kling AI vs LivePortrait
Kling AI
kling.aiLivePortrait
liveportrait.github.ioSide by side
| Figure | Kling AI | LivePortrait |
|---|---|---|
| Price from | $6.99/mo | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | — |
| Self-hosted | — | Yes |
| Plans published | 5 | 0 |
| Spec score · Image-to-Video Generators | 9.1 (#1) | 7.9 (#11) |
| Spec score · AI Photo Animation Tools | 8.9 (#3) | 7.7 (#11) |
Plans
Kling AI
- BasicFree
- Standard$6.99 a month
- Pro$25.99 a month
- Premier$64.99 a month
- Ultra$127.99 a month
In their own words
Kling AI
Kling AI generates videos from text prompts or images and also offers AI avatars. Its listed platform is an API, with API access and commercial use supported. Video outputs can run up to 15 seconds and reach 4K resolution. The free Basic plan costs nothing, billed free forever, and includes 30 element creations with no monthly credits. Standard costs $10 a month and includes 660 credits and 50 element creations. Pro costs $37 a month with 3,000 credits and 150 element creations. Premier costs $92 a month with 8,000 credits and 150 element creations. Ultra costs $180 a month with 26,000 credits and 500 element creations. The listed monthly prices may display introductory discounts. Kling AI is made by a company headquartered in Singapore. The plan structure centers on monthly credit allocations and element-creation limits, while the free tier specifies creations but no monthly credits.
LivePortrait
LivePortrait creates portrait video from a single image, using motion from video, audio, text, or generation. It also supports editing portrait video using a source video and a driving video. Stitching and eye and lip retargeting controls provide ways to adjust animation. The project supplies inference code, pretrained models, and a Gradio interface for local use, as well as a demo hosted on Hugging Face Spaces. Its PyTorch implementation is released under the MIT License, and the project reports generation speed of 12.8 ms on an RTX 4090 GPU with PyTorch. Human-mode instructions cover Linux, Windows, and Apple Silicon macOS; Intel macOS is untested. Animal models can animate cats, dogs, and pandas using human-driven motion, but animal mode is tested only on Linux and Windows with an NVIDIA GPU and is unsupported on macOS. Local setup requires git, conda, FFmpeg, Python 3.10, and downloaded pretrained weights. Commercial users must replace the included InsightFace detection models. Maintainers warn of possible deepfake misuse and visual artifacts.