---
license: mit
library_name: coreml
base_model: KlingTeam/LivePortrait
pipeline_tag: image-to-video
tags:
  - liveportrait
  - coreml
  - mlpackage
  - float16
  - apple-silicon
---

# LivePortrait SPADE decoder, Core ML

LivePortrait's SPADE decoder (KwaiVGI) as a Core ML ML Program in float16, built with coremltools' MIL builder from [spade_generator.pth](https://huggingface.co/KlingTeam/LivePortrait/blob/main/liveportrait/base_models/spade_generator.pth)

- Input `feature`: float32 `[1, 256, 64, 64]`, the warping network's output (NCHW).
- Output `face`: `[1, 3, 512, 512]` in [0, 1].
- Instance norms read their input 256× smaller and the res-block convs 64× smaller (results scaled back): the activations reach ~10⁴, past float16 otherwise.
- Run it on the GPU (`.cpuAndGPU`): 32 ms on an M5, 0.15–0.21 levels mean from the float32 decoder. The Neural Engine is slower (41 ms) and 3 levels off.