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X-Dub

No phone app

5.7No. 20 of 25
in AI Video Lip Sync Tools
  • Recognised40% of the score64
  • Phone app26% of the score0
  • Documented20% of the score0
  • Free plan14% of the score30
Free plan
No
Runs on
self-hosted
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Summary

X-Dub is ranked #20 of 25 in AI video lip sync tools on Samsung Mobile US Press. It runs on Self-hosted.

Facts

Purpose
X-Dub is a PyTorch implementation for syncing a character in a video to an audio track through visual dubbing.github.com · 4 Oct 2026
Public release
The public X-Dub (Wan-5B) release is based on Wan2.2-TI2V-5B; the repository says the internal model used in the paper is not open sourced.github.com · 4 Oct 2026
Input handling
The inference pipeline accepts arbitrary-size input videos and automatically crops and resizes the face region to 512×512 before mapping the generated result back to the full video.github.com · 4 Oct 2026
Single-person limit
The current release supports single-person videos and does not support target tracking in multi-person scenes.github.com · 4 Oct 2026
Hardware requirement
Inference typically requires about 21 GB of VRAM.github.com · 4 Oct 2026
Cropping caveat
The online DWPose-based cropping strategy may cause visible jitter or fail to follow faces during rapid head movement.github.com · 4 Oct 2026
Community integration
The repository links to community-maintained ComfyUI custom nodes with native video and audio inputs, standard VAE integration, and an isolated runtime.github.com · 4 Oct 2026
Weights
Pretrained weights are downloadable from the KlingTeam/X-Dub Hugging Face model repository.github.com · 4 Oct 2026
License
The GitHub repository identifies its license as Apache-2.0.github.com · 4 Oct 2026
Responsible use
The project notes potential misuse for identity impersonation or deceptive synthetic media and encourages labeling AI-generated content.github.com · 4 Oct 2026
Support
The repository invites users to open an issue for discussion and lists [email protected] for questions.github.com · 4 Oct 2026
Intended users
The project provides code, model weights, and command-line inference instructions for users setting up a local Python environment.github.com · 4 Oct 2026
Project affiliation
The repository lists contributors affiliated with Tsinghua University, Kling Team at Kuaishou Technology, Beihang University, HKUST, and CUHK.github.com · 4 Oct 2026

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Where it ranks on Samsung Mobile US Press

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Sources