Instructions to use AEmotionStudio/liveportrait-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LivePortrait
How to use AEmotionStudio/liveportrait-models with LivePortrait:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| license: mit | |
| license_link: LICENSE.md | |
| tags: | |
| - liveportrait | |
| - face-animation | |
| - image-to-video | |
| - portrait | |
| - safetensors | |
| - comfyui | |
| - ffmpega | |
| pipeline_tag: image-to-video | |
| # LivePortrait Models (safetensors) | |
| Mirror of the [LivePortrait](https://github.com/KlingAIResearch/LivePortrait) model weights, converted from `.pth` to **safetensors** format for safe, pickle-free loading. Hosted by [Æmotion Studio](https://github.com/AEmotionStudio) for use with [ComfyUI-FFMPEGA](https://github.com/AEmotionStudio/ComfyUI-FFMPEGA). | |
| ## What is LivePortrait? | |
| LivePortrait is an AI model for **portrait animation** — it transfers head pose, facial expressions, eye gaze, and lip movements from a driving video onto a source face image. It produces high-quality results in real-time. | |
| **Paper:** [LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control](https://arxiv.org/abs/2407.03168) | |
| ## Files | |
| | File | Size | Params | Description | | |
| |:-----|-----:|-------:|:------------| | |
| | `appearance_feature_extractor.safetensors` | 3.2 MB | 836K | Extracts 3D appearance features from face crops | | |
| | `motion_extractor.safetensors` | 107.3 MB | 28.1M | Extracts keypoints, head pose, and expressions | | |
| | `spade_generator.safetensors` | 211.5 MB | 55.4M | SPADE decoder — generates output face images | | |
| | `warping_module.safetensors` | 173.7 MB | 45.5M | Warps appearance features via dense motion | | |
| | `stitching_retargeting_module.safetensors` | 0.9 MB | 227K | Stitching + lip/eye retargeting networks | | |
| | **Total** | **496.6 MB** | **130M** | | | |
| ## ⚠️ Conversion Note | |
| Weights were converted from the official `.pth` checkpoints in [KlingTeam/LivePortrait](https://huggingface.co/KlingTeam/LivePortrait) using: | |
| ```python | |
| from safetensors.torch import save_file | |
| import torch | |
| # For base models (direct state dict) | |
| sd = torch.load("model.pth", map_location="cpu") | |
| save_file(sd, "model.safetensors") | |
| # For stitching module (nested sub-dicts → flat prefixed keys) | |
| # retarget_shoulder → stitching.* | |
| # retarget_mouth → retarget_lip.* | |
| # retarget_eye → retarget_eye.* | |
| ``` | |
| The stitching/retargeting module uses flat prefixed keys in safetensors format. The `module.` DDP prefix is stripped from all keys. | |
| ## Usage | |
| These models are automatically downloaded by ComfyUI-FFMPEGA when the **Animate Portrait** skill is used. No manual setup required if `allow_model_downloads` is enabled. | |
| ### Manual Installation | |
| 1. Download all `.safetensors` files from this repo | |
| 2. Place them in `ComfyUI/models/liveportrait/` | |
| ## Why This Mirror? | |
| - **Pickle-free**: safetensors format eliminates arbitrary code execution risks | |
| - **Supply chain resilience**: first-party mirror ensures availability | |
| - **Faster loading**: safetensors loads faster than pickle-based `.pth` | |
| ## License | |
| LivePortrait is released under the **MIT License** — see [LICENSE.md](LICENSE.md). See the [original repository](https://github.com/KlingAIResearch/LivePortrait) for details. | |
| ## Credits | |
| - **Original model by**: [Kling AI Research](https://github.com/KlingAIResearch/LivePortrait) | |
| - **Paper**: *LivePortrait: Efficient Portrait Animation with Stitching and Retargeting Control* ([arXiv:2407.03168](https://arxiv.org/abs/2407.03168)) | |
| - **Redistributed by**: [Æmotion Studio](https://huggingface.co/AEmotionStudio) for use with [ComfyUI-FFMPEGA](https://github.com/AEmotionStudio/ComfyUI-FFMPEGA) | |