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Rembg — DSH Plugin for DeepSeek Harness
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dsh-rembg

Rembg

DSH image background removal plugin: local rembg (CPU/GPU), built-in plugin page settings panel

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add github:mengruoa/dsh-rembg#aa67bb43281acede67aa40c75afbb802e14ed31c
READMECompatibilityVersions

Compatibility and provenance

Rembg is published as dsh-rembg and currently resolves to version 0.2.0. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
web
Release source
github
Registry updated
9/29/2026

Versions

0.2.0stable
9/29/2026
0.1.15stable
9/1/2026
Latest
0.2.0
DSH
*
HMR
Process restart
Tree shaking
Safe tree shaking not declared
Unpacked size
Unavailable
Files
Unavailable
Surface
web
License
MIT
Source
github
GitHub
★ 0
Weekly downloads
0
Last push
9/29/2026
View source ↗
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README

dsh-rembg

DSH 图像背景移除插件,支持选择 CPU 或本地 NVIDIA GPU 模式。

安装

npm(推荐)

dsh plugin --profile web add dsh-rembg

GitHub

dsh plugin --profile web add github:mengruoa/dsh-rembg

启动 DSH:

dsh --profile web

配置

打开 Web GUI 的侧栏「插件」→ dsh-rembg → rembg 行(该行右侧的配置入口):

  1. 选择是否使用 GPU。
  2. 点击初始化环境安装对应的 Python 依赖。
  3. 在模型列表中安装要使用的模型。
  4. 选择默认模型并保存设置。

DSH 0.1.7-rc.1 起,插件配置页从「设置 → 插件 → 插件配置」迁移到插件页的行配置 (plugins.row.config,键为 dsh-rembg#rembg)。设置值持久化在当前 profile 的 cordis.patch.yml 中该 rembg 行下。

GPU 模式需要 NVIDIA GPU、可用驱动和 nvidia-smi;CPU 模式无需 NVIDIA GPU。依赖和模型保存在插件安装目录中,不会修改系统 Python。

使用

在 DSH 中让模型调用:

用 rembg 工具把 /path/to/photo.png 的背景去掉。

工具参数:

rembg(path, model?)
  • path:输入图片的绝对路径,必填。
  • model:已安装的模型名称,可选,默认使用设置中的模型。

如需查看可用模型,先调用 rembg_models,再使用已安装且校验有效的模型调用 rembg。处理完成后会返回输出文件信息。

卸载

dsh plugin --profile web remove dsh-rembg