# ComfyUI_FoleyCrafter FoleyCrafter is a video-to-audio generation framework which can produce realistic sound effects semantically relevant and synchronized with videos. FoleyCrafter From: [FoleyCrafter](https://github.com/open-mmlab/FoleyCrafter) Update --- **2024/09/06** * add skip_timesync function from @phr00t,thanks! * fix "max frame" in timesync default is "150",now you can set "max frames" to "0" to get full timesync(more time need),or set "1" to timesync as fps(maybe best set) * 基于@phr00t 的建议,时间同步现在设置为可关闭,速度会快很多。然后max frame新增2个功能,设置为0时,读取最大值的帧数,耗时更长,设置为1时,max frame为视频的实际帧率,效果或许最好! * seed max changged/修改最大种子数; * 2024/08/22 * 修复clip关闭的错误;节点改成字典,避免太多线了,运行离线模型失败的,请看3.2和3.3内容; * Fix the error of closing clip; Change the node to a dictionary to avoid too many lines. If the offline model fails to run, please refer to sections 3.2 and 3.3; 1.Installation ----- In the ./ComfyUI /custom_node directory, run the following: ``` git clone https://github.com/smthemex/ComfyUI_FoleyCrafter.git ``` 2.requirements ---- 按理是不需要装特别的库,如果还是库缺少,请单独安装。或者打开no need requirements.txt,查看缺失的库是否在里面。 秋叶包因为是沙箱模式,所以把缺失的库安装在系统的python库里,官方的便携包,用python -m pip install 库名。 If the module is missing, please open "no need requirements.txt" , pip install missing module. 可能会出现的问题,开启video_dubbing 是合成音视频,如果报错,打开控制台CMD,按以下步骤操作: Possible issues may arise. Enabling "video_fubbing" produces synthesized audio and video. If an error occurs, open the CMD console and follow these steps: ``` python -m pip uninstall moviepy decorator python -m pip install moviepy decorator ``` 3 Need models ---- 3.1 "ymzhang319/FoleyCrafter" [link](https://huggingface.co/ymzhang319/FoleyCrafter/tree/main) , 全部下载,并按如下结构存放在ComfyUI/models/foleycrafter 文件夹下,联外网会自动下载: Download all and store them in the "ComfyUI/models/foleycrafter folder" according to the following structure,online will auto download: ``` └── ComfyUI/models/foleycrafter/ ├── semantic │ ├── semantic_adapter.bin ├── vocoder │ ├── vocoder.pt │ ├── config.json ├── temporal_adapter.ckpt │ │ └── timestamp_detector.pth.tar ``` 3.2 online,fill "h94/IP-Adapter" [link](https://huggingface.co/h94/IP-Adapter/tree/main/models/image_encoder), 离线使用时,部分下载,文件结构如下,联外网会自动下载,if offline, Partial download, file structure as follows,online will auto download: 离线使用时,只需要填写:any_path 。。。。 When used offline, only need to fill in: any_path; 虽然是随意地址,但是模型存放路径必须是models/image_encoder/(模型文件); ``` └── any_path ├── models/image_encoder │ ├── model.safetensors │ ├── config.json ``` 3.3 "auffusion/auffusion-full-no-adapter" [link](https://huggingface.co/auffusion/auffusion-full-no-adapter/tree/main), 离线使用时,部分下载,文件结构如下,联外网会自动下载,if offline, Partial download, file structure as follows,online will auto download: 离线使用时,只需要填写:any_path/auffusion/auffusion-full-no-adapter 。。。When used offline, only need to fill in:any_path/auffusion/auffusion-full-no-adapter; ``` ├── any_path/auffusion/auffusion-full-no-adapter | ├──model_index.json | ├──vae | ├── config.json | ├── diffusion_pytorch_model.bin | ├──unet | ├── config.json | ├── diffusion_pytorch_model.bin | ├──tokenizer | ├── merges.txt | ├── special_tokens_map.json | ├── tokenizer_config.json | ├── vocab.json | ├── text_encoder | ├── config.json | ├── pytorch_model.bin | ├── scheduler | ├── scheduler_config.json | ├──feature_extractor | ├──preprocessor_config.json | ├──vocoder | ├──config.json | ├──vocoder.pt ``` 4 Example ---- video_dubbing using prompt and negative_prompt (Latest version) ![](https://github.com/smthemex/ComfyUI_FoleyCrafter/blob/main/example/new0906.png) 5 Function Description of Nodes --- --semantic_scale :ip adatpter scale 调整音频的跟视频的相似度; --max_frame :audio length 音频对齐间隔,为0时全选,为1时间隔数为fps,目前设置500; --controlnet_scale: another audio sacle 未测试; --sample_width/sample_width: weights type, don't change it 模型尺寸,不要动,这个跟视频长宽无关; --video_dubbing: save or not(if using example) 是否用内置的音视频合成,如果用示例的VH合成,可以关闭。 6 Citation ------ "open-mmlab/FoleyCrafter" ``` @misc{zhang2024pia, title={FoleyCrafter: Bring Silent Videos to Life with Lifelike and Synchronized Sounds}, author={Yiming Zhang, Yicheng Gu, Yanhong Zeng, Zhening Xing, Yuancheng Wang, Zhizheng Wu, Kai Chen}, year={2024}, eprint={2407.01494}, archivePrefix={arXiv}, primaryClass={cs.CV} } ```