Delete LatentSync-1.6-GGUF

LatentSync-1.6-GGUF/README.md

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----
-license: other
-license_name: mixed-upstream-licenses
-license_link: https://github.com/deepinsight/insightface#license
-tags:
-  - audio.cpp
-  - gguf
-  - lip-sync
-base_model: ByteDance/LatentSync-1.6
----
-
-# LatentSync 1.6 for audio.cpp
-
-Use this package with [audio.cpp](https://github.com/0xShug0/audio.cpp).
-It synchronizes lip motion in an existing video with supplied speech.
-
-> [!WARNING]
-> This local development package contains InsightFace face detection and landmark
-> weights restricted to non-commercial research. LatentSync's Apache-2.0 license
-> does not override those terms. Review upstream licenses before redistribution
-> or deployment.
-
-`latentsync-1.6-f32-f16.gguf` includes the temporal diffusion U-Net, Whisper Tiny
-audio encoder, SD VAE, SCRFD face detector, 106-point landmark model, face mask,
-configuration sidecars, and embedded audio.cpp model spec. Original mixed F32/F16
-tensor storage is retained; inference requires no Python or ONNX Runtime.
-
-Install FFmpeg on PATH, then run:
-
-```bash
-audiocpp_cli --task gen --family latentsync \
-  --model latentsync-1.6-f32-f16.gguf --backend cuda \
-  --audio speech.wav --request-option reference_video_path=speaker.mp4 \
-  --out-dir outputs/latentsync --log
-```
-
-The CLI writes RGB24 frames and a small JSON metadata sidecar. MP4 encoding and audio muxing
-are separate FFmpeg steps; see `docs/models/latentsync.md` in the port's source.
-
-## Upstream Sources
-
-- [LatentSync weights](https://huggingface.co/ByteDance/LatentSync-1.6)
-- [LatentSync code](https://github.com/bytedance/LatentSync/tree/a229c3948406bc2cf6eaf4873e662e70c6a04746)
-- [SD VAE](https://huggingface.co/stabilityai/sd-vae-ft-mse)
-- [InsightFace license](https://github.com/deepinsight/insightface#license)
-
-This is an experimental local package, not a published release.

LatentSync-1.6-GGUF/latentsync-1.6-f32-f16.gguf

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