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D3voz/openjutsu

视频人物替换视频物体替换视频后期处理

Openjutsu 是一个本地运行的视频人物替换工具,通过上传视频和人物照片,可替换视频中的主要人物,或修改头发、衣物、移除物体、改变背景,同时保持镜头、动作和音轨不变。适用于需要本地、开源视频编辑的用户,尤其是内容创作者。

AI 中文解读 · 根据仓库描述与 README 生成 · 2026/10/30 03:46:42 · 查看原文

值得看TypeScript应用与服务
累计 Stars
315
当前热度
1~7 天 · 小火
仓库创建时间
打开 GitHub ↗

选用指南

AI 根据 README 整理 · 2026/10/30 03:46:42

使用方式

通过浏览器界面使用,需先启动 ComfyUI 和代理,然后运行 npm start 启动应用,访问 http://127.0.0.1:3000。

查看 README 依据
On Windows, double-click `start_openjutsu.bat` (ComfyUI must be running, or started while it waits). The first run installs `comfy-api-proxy` 0.1.6 into `.venv-proxy` and the node packages, and `patch_proxy.py` fixes the proxy's live progress (node changes and mid-job previews). Each run builds the app, then opens the proxy and the app (`npm start`, the production server) in two windows and the page in your browser. Close those two windows to stop Openjutsu. The manual steps:
python openjutsu/patch_proxy.py comfy-api-proxy run --max-upload-mb 500 ``` 3. Install and start the app: ```sh git clone <this repo> openjutsu cd openjutsu cp .env.example .env.local npm ci npm run build npm start ``` While changing the code, `npm run dev` runs the development server instead. 4. Open <http://127.0.0.1:3000>.
部署要求

需要 NVIDIA GPU(测试于 RTX 4060 Ti 16GB),ComfyUI 0.41.2 或更高版本,Node.js 22.6 或更高版本,以及 Python 用于 comfy-api-proxy。

查看 README 依据
- An NVIDIA GPU. Tested on an RTX 4060 Ti 16 GB with 64 GB of system RAM; the H3 int8 models stream from RAM. - [ComfyUI](https://github.com/comfyanonymous/ComfyUI) 0.41.2 or newer. Core provides MiniMax H3, SAM 3.1 and TextGenerate. - Node.js 22.6 or newer, and Python for `comfy-api-proxy`. ### Custom nodes Install these into `ComfyUI/custom_nodes` (ComfyUI Manager finds the first three by name): | Pack | Used for | | --- | --- | | [SolarRenderer](https://github.com/Enderfga/SolarRenderer/tree/main/comfyui) | From picture: SolarRenderer LoRA loading, conditioning and four-step sampling |
已知限制

镜像和反射效果尚不支持,H3 在人物较小时面部绘制效果不佳,需使用修复功能。

查看 README 依据
- **Mirrors and reflections do not work yet**, in either mode. The reflection keeps the original person, and H3 copies their look from it: hair, outfit and build come back on your character. Use videos without a mirror, window or other reflection of the person. - **Who do they replace?** names the person for the prompt by role (`the singer`), never by clothes: clothing words leak into the result. Leave it blank and the describer names them.
- **Post-processing**: available, for a finished video. **Fix faces**: H3 draws faces poorly when the person is small in the frame, so this redraws the face of the person in a photo at close-up size and pastes it back. Runs `workflows/face.api.json`, written by `workflows/build/openjutsu_face_build.py`. **Fix colours** softens H3's harsh look without an H3 run: Image Detail Contrast takes some fine detail contrast out, then Orion4D's DCTL Tone Mapper grades every frame. Runs `workflows/color.api.json`. ## Requirements

README

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收录信息

仓库创建时间
2026/10/26 21:48:11
首次达标收录
2026/10/30 03:41:32
统计更新时间
2026/10/30 05:10:42

按创建时长与累计 Stars 判断等级。首次达标收录后,即使未达当前门槛仍保留;累计 Stars 和仓库状态会定期更新。确认只有 README 及辅助文件的仓库会停止公开。

模型评估

值得看加权总分 3.9 / 5

新颖度
3.8
实用价值
3.9
成熟度
4.1
实质含量
3.9

由 Jev 模型根据仓库描述与 README 评估,2026/10/30 03:41:32 生成。评分仅供参考,不是代码、安全或许可证审查;热度等级另按创建时长与累计 Stars 计算。

仓库信息

最近推送
2026/10/29 23:19:30
许可证标识
MIT
Fork 数
53
当前状态
未归档

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