Mel Massadian

docs: add hub model card yaml metadata to readme

9798d5b 3 days ago

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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

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.