Diff2Lip vs InfiniteTalk
Diff2Lip
github.comInfiniteTalk
github.comSide by side
| Figure | Diff2Lip | InfiniteTalk |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Linux | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 0 |
| Spec score · AI Video Lip Sync Tools | 7.9 (#10) | 7.4 (#18) |
| Integrations | The repository links Google Colab for trying the project; it does not list other product integrations. | The repository links community support for ComfyUI and Wan2GP and provides a Gradio interface. |
| License | The repository states that its text and code are under CC BY-NC 4.0, with attribution required and commercial use prohibited. | The model weights are licensed under Apache 2.0, and the repository says users are responsible for lawful use of generated content. |
| Purpose | Diff2Lip generates lip-synchronized videos from speech audio and face videos. | InfiniteTalk generates audio-synchronized talking videos from a source video and audio, or animates a single image using audio. |
| Requirements | The setup instructions use Python 3.9 and FFmpeg 5.0.1, and inference can use one or more GPUs. | The installation instructions use Python 3.10, PyTorch, xformers, Flash-Attn, and FFmpeg. |
In their own words
Diff2Lip
Diff2Lip is a free, open-source Linux and self-hosted project that synchronizes speech with face videos using an audio-conditioned diffusion model. It accepts speech and face-video material and generates lip-synced video while aiming to preserve the identity shown in source frames. The repository includes inference scripts for audio-video pairs and for a single video. Cross mode drives a video with an audio source; reconstruction mode drives the video's first frame with audio. The project lists movies, education and virtual avatars as applications, with video conferencing described as a possible future use. Diff2Lip is not real time yet. Reported evaluations use the VoxCeleb2 and LRW datasets, and the repository identifies the work as a WACV 2024 paper. Setup instructions use Python 3.9, FFmpeg 5.0.1 and the requirements file. Inference supports one or more GPUs through NUM_GPUS, with values above one running distributed generation. A Google Colab notebook is linked for trying it.
InfiniteTalk
InfiniteTalk has no write-up on Specifiction yet; its figures are above.