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shraey/xdub-mlx
xdub-mlx is a machine learning model from shraey. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
MLX-format weights for the X-Dub lip-sync / dubbing model, for Apple-silicon (MLX) inference. Pick one DiT tier (your Mac's RAM decides) + the shared decoder/detectors below.
Downloads · 30 days
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Updated Jun 23, 2026
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.safetensors20.7 GB · 98%
From the Hugging Face model README
MLX-format weights for the X-Dub lip-sync / dubbing model, for Apple-silicon (MLX) inference. Pick one DiT tier (your Mac's RAM decides) + the shared decoder/detectors below.
| Tier | File | Size | When |
|---|---|---|---|
| Quality | X-Dub_model_int8_blockonly.safetensors | 6.9 GB | best fidelity — 15-step, full VAE |
| Fast / Balanced (default) | X-Dub_model_turbo_s100_int8.safetensors | 6.9 GB | 4-step turbo (speed-LoRA merged in), full VAE |
| Low-memory | X-Dub_model_turbo_s100_int6.safetensors | 5.4 GB | ≤16 GB Macs — turbo int6 + tiny decoder + tiled VAE |
Wan2.2_VAE.safetensors (1.4 GB) — VAE decoderlighttaew2_2.safetensors (45 MB) — tiny TAEW2.2 continuity decoder (low-mem path)dwpose/yolox_l.onnx + dwpose/dw-ll_ucoco_384.onnx (350 MB) — face/pose detection (ONNX, CPU)