FoleyCrafter vs MMAudio
FoleyCrafter
foleycrafter.github.ioMMAudio
github.comSide by side
| Figure | FoleyCrafter | MMAudio |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Linux | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 0 | 1 |
| Spec score · AI Sound Effect Generators | 7.3 (#23) | 8.3 (#8) |
| Purpose | FoleyCrafter is a text-based video-to-audio generation framework that produces high-quality audio semantically relevant and temporally synchronized with input video. | MMAudio generates synchronized audio from video and/or text inputs. |
| Support | The repository README lists contact email addresses for Yiming Zhang, YiCheng Gu, and Yanhong Zeng. | The project invites users to open a repository issue if they notice a failure mode or believe there is a bug. |
Plans
In their own words
FoleyCrafter
FoleyCrafter has no write-up on Specifiction yet; its figures are above.
MMAudio
MMAudio generates audio from video or text, with a synchronization module that aligns generated sound to video frames. Its command-line demo and Gradio interface support video-to-audio and text-to-audio generation. The interface also has an experimental image-to-audio mode: the model was not trained for image input, and the demo turns a still image into a video for processing. The project is free, with repository code under the MIT license and pretrained checkpoints under CC-BY-NC 4.0. It runs on Linux or in a self-hosted setup. Installation calls for Python 3.9 or later and PyTorch 2.5.1 or later, with corresponding torchvision and torchaudio; the project says it has only been tested on Ubuntu. In the default large_44k_v2 configuration, inference in 16-bit mode uses around 6 GB of GPU memory. The demo saves audio as FLAC and video as MP4, with an eight-second default duration. Output may include unintelligible speech-like sounds or background music, and unfamiliar concepts can be difficult for the model.