| # LoRA resize script by @bdsqlsz | |
| $save_precision = "fp16" # precision in saving, default float | 保存精度, 可选 float、fp16、bf16, 默认 float | |
| $new_rank = 4 # dim rank of output LoRA | dim rank等级, 默认 4 | |
| $model = "./output/lora_name.safetensors" # original LoRA model path need to resize, save as cpkt or safetensors | 需要调整大小的模型路径, 保存格式 cpkt 或 safetensors | |
| $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 | |
| $verbose = 1 # display verbose resizing information | rank变更时, 显示详细信息 | |
| $dynamic_method = "" # Specify dynamic resizing method, --new_rank is used as a hard limit for max rank | 动态调节大小，可选"sv_ratio", "sv_fro", "sv_cumulative",默认无 | |
| $dynamic_param = "" # Specify target for dynamic reduction | 动态参数,sv_ratio模式推荐1~2, sv_cumulative模式0~1, sv_fro模式0~1, 比sv_cumulative要高 | |
| # Activate python venv | |
| .\venv\Scripts\activate | |
| $Env:HF_HOME = "huggingface" | |
| $ext_args = [System.Collections.ArrayList]::new() | |
| if ($verbose) { | |
| [void]$ext_args.Add("--verbose") | |
| } | |
| if ($dynamic_method) { | |
| [void]$ext_args.Add("--dynamic_method=" + $dynamic_method) | |
| } | |
| if ($dynamic_param) { | |
| [void]$ext_args.Add("--dynamic_param=" + $dynamic_param) | |
| } | |
| # run resize | |
| accelerate launch --num_cpu_threads_per_process=8 "./sd-scripts/networks/resize_lora.py" ` | |
| --save_precision=$save_precision ` | |
| --new_rank=$new_rank ` | |
| --model=$model ` | |
| --save_to=$save_to ` | |
| --device=$device ` | |
| $ext_args | |
| Write-Output "Resize finished" | |
| Read-Host | Out-Null ; | |