v1.1
BooruDatasetTagManager+ v1.1
Highlights
ONNX tagger and models
- Full WD14 catalog (12 models) in the model picker, including vit-large v3 and eva02-large v3
- PixAI v0.9 fix — selects
prediction/logitsoutput correctly; v0.9 CSV format; WebP via ImageLoader; DirectML failure falls back to CPU - Per-model WD14 thresholds — vit-large default 0.26 no longer inherits eva02-large 0.52 when reopening or switching models
- WD14 large-model inference: DirectML hang recovery via CPU retry; explicit output tensor name; NHWC / NCHW input size detection
Batch tagging and UI
- Split ONNX inference (background) from tag writes (UI thread); fixes batch
BindingSourcecircular-reference errors - Progress bar shows last / average / ETA / elapsed inference time
- Model download completion dialog; status resets to ready-to-tag
- Post-batch
SaveAllruns in background; single-image selection uses synchronous tag grid refresh to reduce UI freezes
Install
Download BooruDatasetTagManagerPlus-1.1-win-x64.zip from Releases, extract, and run BooruDatasetTagManagerPlus.exe.
Self-contained build for Windows x64; no separate .NET install required.
Local runs via test_start.bat or quick_build.bat create Models/, Cache/, and settings.json next to the executable. These are runtime data and are not committed to Git; download ONNX models from inside the app.
更新摘要(中文)
- WD14 全系列 12 款模型可选;PixAI v0.9 推理修复(多输出张量、CSV、WebP、DirectML 回退 CPU)
- WD14 按模型独立阈值(vit-large 0.26 不再误用 eva02 的 0.52);大模型 DirectML 挂起时自动回退 CPU
- 批量推标修复 BindingSource 错误;进度条显示推理耗时与 ETA
- 模型下载完成提示;推标结束后后台保存、单图同步刷新标签列表
- 本地
Models/、Cache/、settings.json为运行时数据,不入库
See v1.0.5 release notes for the previous major ONNX / video release.