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face stack: YuNet (MIT) + MediaPipe Face Landmarker v2 + blendshapes (Apache 2.0) replace the non-commercial InsightFace pair
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license: mit

Pop Maker Studio — Model Collection

Curated model bundle for Pop Maker Studio. These models are not trained by us — redistributed from their original creators under permissive licenses.

Model Source License
Whisper large/tiny ggerganov/whisper.cpp MIT
Kim Vocal 2 Politrees/UVR_resources MIT
RVC HuBERT (ContentVec) lj1995/VoiceConversionWebUI MIT
RMVPE pitch model lj1995/VoiceConversionWebUI MIT
wav2vec2-base-960h Xenova/wav2vec2-base-960h Apache 2.0
Moondream2 vision Xenova/moondream2 Apache 2.0
Piper voices rhasspy/piper-voices MIT
RobustVideoMatting (mobilenetv3) PeterL1n/RobustVideoMatting GPL-3.0
YuNet (face detection) OpenCV Zoo MIT
Face Landmarker v2 + blendshapes MediaPipe (tflite→onnx via tf2onnx) Apache 2.0
RVC pitch bases generated from lj1995 pretrained_v2 f0G emb_pitch tensors MIT (derivative)

Layout note: the app expects these under build/models/ — flat names for the top-level models (vision/decoder_model_merged_q4.onnx → moondream-decoder.onnx, vision_encoder_q4.onnx → moondream-encoder.onnx, embed_tokens_q4.onnx → embed_tokens.onnx, tokenizer.json → moondream-tokenizer.json), face/ and piper/ keep their subdirectories. hubert.onnx is exported from upstream hubert_base.pt by the app's export-hubert tool (the .pt itself is not shipped here — it is not used at runtime).