Upload lora-scripts/interrogate.ps1 with huggingface_hub

lora-scripts/interrogate.ps1

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+# LoRA interrogate script by @bdsqlsz
+
+$v2 = 0 # load Stable Diffusion v2.x model / Stable Diffusion 2.x模型读取
+$sd_model = "./sd-models/sd_model.safetensors" # Stable Diffusion model to load: ckpt or safetensors file | 读取的基础SD模型, 保存格式 cpkt 或 safetensors
+$model = "./output/LoRA.safetensors" # LoRA model to interrogate: ckpt or safetensors file | 需要调查关键字的LORA模型, 保存格式 cpkt 或 safetensors
+$batch_size = 64 # batch size for processing with Text Encoder | 使用 Text Encoder 处理时的批量大小，默认16，推荐64/128
+$clip_skip = 1 # use output of nth layer from back of text encoder (n>=1) | 使用文本编码器倒数第 n 层的输出，n 可以是大于等于 1 的整数
+
+
+# Activate python venv
+.\venv\Scripts\activate
+
+$Env:HF_HOME = "huggingface"
+$ext_args = [System.Collections.ArrayList]::new()
+
+if ($v2) {
+  [void]$ext_args.Add("--v2")
+}
+
+# run interrogate
+accelerate launch --num_cpu_threads_per_process=8 "./sd-scripts/networks/lora_interrogator.py" `
+	--sd_model=$sd_model `
+	--model=$model `
+	--batch_size=$batch_size `
+	--clip_skip=$clip_skip `
+	$ext_args 
+
+Write-Output "Interrogate finished"
+Read-Host | Out-Null ;