Upload lora-scripts/svd_merge.ps1 with huggingface_hub

lora-scripts/svd_merge.ps1

@@ -1,43 +1,43 @@
-# LoRA svd_merge script by @bdsqlsz
-
-$save_precision = "fp16" # precision in saving, default float | 保存精度, 可选 float、fp16、bf16, 默认 和源文件相同
-$precision = "float" # precision in merging (float is recommended) | 合并时计算精度, 可选 float、fp16、bf16, 推荐float
-$new_rank = 4 # dim rank of output LoRA | dim rank等级, 默认 4
-$models = "./output/modelA.safetensors ./output/modelB.safetensors" # original LoRA model path need to resize, save as cpkt or safetensors | 需要合并的模型路径, 保存格式 cpkt 或 safetensors，多个用空格隔开
-$ratios = "1.0 -1.0" # ratios for each model / LoRA模型合并比例，数量等于模型数量，多个用空格隔开
-$save_to = "./output/lora_name_new.safetensors" # output LoRA model path, save as ckpt or safetensors | 输出路径, 保存格式 cpkt 或 safetensors
-$device = "cuda" # device to use, cuda for GPU | 使用 GPU跑, 默认 CPU
-$new_conv_rank = 0 # Specify rank of output LoRA for Conv2d 3x3, None for same as new_rank | Conv2d 3x3输出，没有默认同new_rank
-
-# Activate python venv
-.\venv\Scripts\activate
-
-$Env:HF_HOME = "huggingface"
-$Env:XFORMERS_FORCE_DISABLE_TRITON = "1"
-$ext_args = [System.Collections.ArrayList]::new()
-
-[void]$ext_args.Add("--models")
-foreach ($model in $models.Split(" ")) {
-    [void]$ext_args.Add($model)
-}
-
-[void]$ext_args.Add("--ratios")
-foreach ($ratio in $ratios.Split(" ")) {
-    [void]$ext_args.Add([float]$ratio)
-}
-
-if ($new_conv_rank) {
-  [void]$ext_args.Add("--new_conv_rank=" + $new_conv_rank)
-}
-
-# run svd_merge
-accelerate launch --num_cpu_threads_per_process=8 "./sd-scripts/networks/svd_merge_lora.py" `
-	--save_precision=$save_precision `
-	--precision=$precision `
-	--new_rank=$new_rank `
-	--save_to=$save_to `
-	--device=$device `
-	$ext_args 
-
-Write-Output "SVD Merge finished"
-Read-Host | Out-Null ;
+# LoRA svd_merge script by @bdsqlsz
+
+$save_precision = "fp16" # precision in saving, default float | 保存精度, 可选 float、fp16、bf16, 默认 和源文件相同
+$precision = "float" # precision in merging (float is recommended) | 合并时计算精度, 可选 float、fp16、bf16, 推荐float
+$new_rank = 4 # dim rank of output LoRA | dim rank等级, 默认 4
+$models = "./output/modelA.safetensors ./output/modelB.safetensors" # original LoRA model path need to resize, save as cpkt or safetensors | 需要合并的模型路径, 保存格式 cpkt 或 safetensors，多个用空格隔开
+$ratios = "1.0 -1.0" # ratios for each model / LoRA模型合并比例，数量等于模型数量，多个用空格隔开
+$save_to = "./output/lora_name_new.safetensors" # output LoRA model path, save as ckpt or safetensors | 输出路径, 保存格式 cpkt 或 safetensors
+$device = "cuda" # device to use, cuda for GPU | 使用 GPU跑, 默认 CPU
+$new_conv_rank = 0 # Specify rank of output LoRA for Conv2d 3x3, None for same as new_rank | Conv2d 3x3输出，没有默认同new_rank
+
+# Activate python venv
+.\venv\Scripts\activate
+
+$Env:HF_HOME = "huggingface"
+$Env:XFORMERS_FORCE_DISABLE_TRITON = "1"
+$ext_args = [System.Collections.ArrayList]::new()
+
+[void]$ext_args.Add("--models")
+foreach ($model in $models.Split(" ")) {
+    [void]$ext_args.Add($model)
+}
+
+[void]$ext_args.Add("--ratios")
+foreach ($ratio in $ratios.Split(" ")) {
+    [void]$ext_args.Add([float]$ratio)
+}
+
+if ($new_conv_rank) {
+  [void]$ext_args.Add("--new_conv_rank=" + $new_conv_rank)
+}
+
+# run svd_merge
+accelerate launch --num_cpu_threads_per_process=8 "./scripts/networks/svd_merge_lora.py" `
+	--save_precision=$save_precision `
+	--precision=$precision `
+	--new_rank=$new_rank `
+	--save_to=$save_to `
+	--device=$device `
+	$ext_args 
+
+Write-Output "SVD Merge finished"
+Read-Host | Out-Null ;