---
license: mit
base_model: KwaiVGI/LivePortrait
library_name: coreml
tags:
  - coreml
  - face
  - portrait-animation
---

# LivePortrait (human models), Core ML fp16

The five human checkpoints of [LivePortrait](https://github.com/KlingTeam/LivePortrait)
(KlingTeam / Kuaishou, MIT; weights from
[KwaiVGI/LivePortrait](https://huggingface.co/KwaiVGI/LivePortrait), revision `82a4fa6`),
converted to Core ML (fp16) for DepthField Photo's Expression Matrix live preview.

`liveportrait-fp16.zip` (STORED, 269,809,870 bytes, sha256
`00ee879e694a2cd6ff6059db431d44a2ecb17cf1ce4c132c2a7ef17133d21129`) holds:

- `lp_F_fp16.mlpackage` appearance feature extractor
- `lp_M_fp16.mlpackage` motion extractor
- `lp_W1_fp16.mlpackage`, `lp_W2_fp16.mlpackage`, `lp_W3_fp16.mlpackage` the warping module, split in three
- `lp_G_fp16.mlpackage` SPADE generator
- `lp_stitching.f32`, `lp_lip.f32` stitching and lip-retargeting MLPs as raw little-endian f32

## Modifications

The 3D grid sampling is rewritten as one 2D sample over an atlas of depth slices, the 3D
convolutions as sums of 2D convolutions with batch norm folded in, spectral norm is baked into
the weights, and the warping network is split into three models. None of upstream's InsightFace
models, landmark model, animal models or X-Pose are included.

## License

MIT, Copyright (c) 2024 Kuaishou Visual Generation and Interaction Center. The converted
weights are distributed under the same terms.