Plugins

完美适配 Purge 的 NSFW content creation 插件。在 DeepSeek Harness 中用自托管模型创作成人向图像、有声视频与多镜头短片，支持参考图编辑、LoRA 风格控制和 Agent 分镜剪辑。

Qwen Image 2.1 workspace for DSH: Apple Silicon MLX or your own NVIDIA server, native reference editing, LoRA, ControlNet, inpainting, shared presets, gallery and live agent progress. Includes verified updates and an agent setup guide.

Large-image recognition for vision-exp models: lossless 800×800 tile recognition (smart/pipeline/full), local OCR with preprocessing & handwriting routing, optional multi-vendor GPU (DirectML/CUDA/OpenVINO) with auto CPU fallback.

One-line song cover: fetch a track or take a local file, split stems, derive a key shift, run RVC conversion through Applio, align the vocal, mix three variants and gate the master — nine stages across three tools, zero npm dependencies. Requires a local Applio install (Python, ffmpeg, yt-dlp), a voice model and a CUDA GPU.

Local GPT-SoVITS text-to-speech for DSH: reads replies aloud, switches voices from the right sidebar, and trains a new voice from a dropped audio sample. First run downloads an 11.4 GB engine and needs an NVIDIA CUDA GPU.

GPU-aware execution layer for DeepSeek Harness: gpu_status / gpu_exec / gpu_run_bg tools, per-step GPU context injection, automatic CUDA_VISIBLE_DEVICES card selection

Adds a 无界画布 page to the DSH left sidebar with a bundled front-end, local workbench status/start, and DSH Agent tools that read and edit the open canvas; the canvas has no built-in Agent. Requires a local 无界工作台 installation with ComfyUI; the plugin bundles neither ComfyUI, CUDA, models nor API keys.

SACC 原格式文档翻译 CUDA

Windows x64 translator with a dedicated sidebar entry and Workbench / Chat interface, side-by-side text and document translation, screen-region translation, recent history, and host model selection, voice input and preview. CUDA document OCR with CPU fallback; screen OCR uses CPU. Do not enable the CPU and CUDA packages at the same time.

Windows x64 translator with a dedicated sidebar entry and Workbench / Chat interface, side-by-side text and document translation, screen-region translation, recent history, and host model selection, voice input and preview. CPU OCR without NVIDIA dependencies. Do not enable the CPU and CUDA packages at the same time.

Run Python on the local NVIDIA CUDA GPU from DeepSeek Harness: device status, foreground and detached jobs, durable logs, and a measured peak-VRAM figure per run.

Large-image recognition for vision-exp models: lossless 800×800 tile recognition (smart/pipeline/full), local OCR with preprocessing & handwriting routing, optional multi-vendor GPU (DirectML/CUDA/OpenVINO) with auto CPU fallback.

Adds /dev/dxg and /proc read-write grants to the DSH Landlock sandbox on WSL2, so CUDA is available inside a confined agent bash session.