MyGo 云音乐
用 Go 与 MyGo 写成的第三方网易云音乐桌面客户端。原生界面,没有 WebView;边下边播,无损与 Hi-Res,逐字歌词与「律动」,刘海播放器。
Translation pending
A portable dataset tag editor for AI training images, made for Anima and other booru-tag models. Undoable edit logging, retroactive rule-based tag correction, WD14 autotagging, and direct ComfyUI sync
MediaTypeScript · PythonGitHub @ValteilOnlineOwner unconfirmed
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A dense and quality-of-life focused Dataset manager for training images (desktop + Android), bundled with a standalone ComfyUI generation UI for Anima
Taken from the repository README
Loading the full README. The saved excerpt is shown below.
A feature-heavy, Comfyui-compatible dataset manager built around Anima, Circlestone Labs' diffusion model, and the booru-tag models in its family. Other models work fine too, though everything here is aimed at Anima: the tag conventions, the categories and the generation workflow all follow it. Comes with a large amount of Quality of Life features. Has incredibly powerful dataset manipulation tools and automation, with attempts at finetuning UI and UX for an all-in-one image processor for all your slopping needs.Read the full README ↗A feature-heavy, ComfyUI-compatible dataset manager built around Anima (Circlestone Labs' diffusion model) and the booru-tag models in its family. Other models work too, but the tag conventions, categories and generation workflow all follow Anima. Curate a folder of images, tag them, grow the dataset with generated images, and train a LoRA on it, all in one portable app.
Built with Electron + TypeScript, and with a shitload of Claude and Opencode Go.
Disclaimer: as obviously stated, nearly all of this is AI-built. If for whatever reason that somehow makes you grossed out when the whole point of a dataset curator is to train genAI, then I don't know go eat a rock or something.
Docs: the in-app ❓ Help covers every tab · User guide · Patch notes
Everything is on the releases page.
| File | What it is |
|---|---|
Osmium.Workshop-<version>-win.zip | The dataset manager (Windows, portable) |
Anima-TrainFlow-Osmium-<version>.zip | The trainer for the Trainflow tab (optional) |
Comfy.Bridge-<version>-win.zip | Comfy Bridge: a simple generation UI for ComfyUI (Windows) |
ComfyBridge-<version>-android.apk | Comfy Bridge for Android |
ComfyUI-DataSetManagerNodes.zip | The ComfyUI node pack SynthDat and Comfy Bridge need |
Osmium Workshop. Unzip anywhere and run Osmium Workshop.exe. Nothing is installed; your
settings live in the data/ folder beside it. Open a dataset with File → Open dataset folder
(images plus matching .txt captions).
Trainflow (training LoRAs, NVIDIA GPU).
Anima-TrainFlow-Osmium-<version>.zip somewhere with about 8 GB free.Install_Requirements.bat in it once. It downloads PyTorch and the trainer's packages
(about 5 GB) at the exact versions Trainflow is tested with.This is Anima-TrainFlow by ThetaCursed with a newer sd-scripts (v0.12.0) and the patches Trainflow needs; it's the version Trainflow is tested with.
ComfyUI features (SynthDat, Comfy Bridge). Unzip ComfyUI-DataSetManagerNodes.zip into your
ComfyUI's custom_nodes folder. Both can use a running ComfyUI, or (on Windows) start your install
themselves as Osmium Comfy, without a server. WD14 tagging runs on-device and doesn't need ComfyUI.
Comfy Bridge. Unzip and run, or sideload the APK on your phone. The phone can use a ComfyUI server
directly, or go through the desktop Bridge (Let the phone app use it). For extra samplers
(res_2m, res_2s and friends), install the separate RES4LYF
node pack in your ComfyUI (for example through ComfyUI Manager); Bridge lists them once it's there.
Updating. There's no auto-updater: unzip the new version and move your old data/ folder into
it. Comfy Bridge's Android app updates install over the old APK.
MIT, see LICENSE. Third-party code, fonts and models are listed in THIRD_PARTY_NOTICES.md.