Upload lora-scripts/tagger.ps1 with huggingface_hub

lora-scripts/tagger.ps1

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+# tagger script by @bdsqlsz
+
+# Train data path
+$train_data_dir = "./input" # input images path | 图片输入路径
+$repo_id = "SmilingWolf/wd-v1-4-swinv2-tagger-v2" # model repo id from huggingface |huggingface模型repoID
+$model_dir = "" # model dir path | 本地模型文件夹路径
+$batch_size = 4 # batch size in inference 批处理大小，越大越快
+$max_data_loader_n_workers = 0 # enable image reading by DataLoader with this number of workers (faster) | 0最快
+$thresh = 0.35 # concept thresh | 最小识别阈值
+$general_threshold = 0.35 # general threshold | 总体识别阈值 
+$character_threshold = 0.1 # character threshold | 人物姓名识别阈值
+$remove_underscore = 0 # remove_underscore | 下划线转空格，1为开，0为关 
+$undesired_tags = "" # no need tags | 排除标签
+$recursive = 0 # search for images in subfolders recursively | 递归搜索下层文件夹，1为开，0为关
+$frequency_tags = 0 # order by frequency tags | 从大到小按识别率排序标签，1为开，0为关
+
+
+# Activate python venv
+.\venv\Scripts\activate
+
+$Env:HF_HOME = "huggingface"
+$Env:XFORMERS_FORCE_DISABLE_TRITON = "1"
+$ext_args = [System.Collections.ArrayList]::new()
+
+if ($repo_id) {
+  [void]$ext_args.Add("--repo_id=" + $repo_id)
+}
+
+if ($model_dir) {
+  [void]$ext_args.Add("--model_dir=" + $model_dir)
+}
+
+if ($batch_size) {
+  [void]$ext_args.Add("--batch_size=" + $batch_size)
+}
+
+if ($max_data_loader_n_workers) {
+  [void]$ext_args.Add("--max_data_loader_n_workers=" + $max_data_loader_n_workers)
+}
+
+if ($general_threshold) {
+  [void]$ext_args.Add("--general_threshold=" + $general_threshold)
+}
+
+if ($character_threshold) {
+  [void]$ext_args.Add("--character_threshold=" + $character_threshold)
+}
+
+if ($remove_underscore) {
+  [void]$ext_args.Add("--remove_underscore")
+}
+
+if ($undesired_tags) {
+  [void]$ext_args.Add("--undesired_tags=" + $undesired_tags)
+}
+
+if ($recursive) {
+  [void]$ext_args.Add("--recursive")
+}
+
+if ($frequency_tags) {
+  [void]$ext_args.Add("--frequency_tags")
+}
+
+# run tagger
+accelerate launch --num_cpu_threads_per_process=8 "./sd-scripts/finetune/tag_images_by_wd14_tagger.py" `
+  $train_data_dir `
+  --thresh=$thresh `
+  --caption_extension .txt `
+  $ext_args
+
+Write-Output "Tagger finished"
+Read-Host | Out-Null ;