kohya_ss/tools/Untitled-1.txt

D:\kohya_ss\.venv\Scripts\python.exe D:\kohya_ss\sd-scripts\networks\extract_lora_from_models-nw.py --save_precision bf16 --save_to E:/lora/sdxl/cinemaDiffusoXL_beta03_sv_fro_0.65.safetensors --model_org E:/models/sdxl/base/sd_xl_base_1.0_0.9vae.safetensors --model_tuned E:/models/sdxl/cinemaDiffusoXL_beta03.safetensors --dim 16 --device cuda --sdxl --target_fro_retained 0.5 --group_size 6 --svd_mode per_layer --dynamic_param 0.65

D:\kohya_ss\.venv\Scripts\python.exe D:\kohya_ss\sd-scripts\networks\extract_lora_from_models-nw.py --save_precision bf16 --save_to E:/lora/sdxl/cinemaDiffusoXL_beta03_sv_cumulative_0.9.safetensors --model_org E:/models/sdxl/base/sd_xl_base_1.0_0.9vae.safetensors --model_tuned E:/models/sdxl/cinemaDiffusoXL_beta03.safetensors --dim 16 --device cuda --sdxl --target_fro_retained 0.5 --group_size 6 --svd_mode per_layer --dynamic_param 0.9 --dynamic_method sv_cumulative

D:\kohya_ss\.venv\Scripts\python.exe D:\kohya_ss\sd-scripts\networks\extract_lora_from_models-nw.py --save_precision fp16 --save_to E:/lora/sdxl/cinemaDiffusoXL_beta03_sv_fro_0.5v2.safetensors --model_org E:/models/sdxl/base/sd_xl_base_1.0_0.9vae.safetensors --model_tuned E:/models/sdxl/cinemaDiffusoXL_beta03.safetensors --dim 256 --device cuda --sdxl --dynamic_param 0.5 --dynamic_method sv_fro --verbose

D:\kohya_ss\.venv\Scripts\python.exe D:\kohya_ss\sd-scripts\networks\extract_lora_from_models-nw.py --save_precision fp16 --save_to E:/lora/sdxl/cinemaDiffusoXL_beta03_sv_cumulative_0.5v2.safetensors --model_org E:/models/sdxl/base/sd_xl_base_1.0_0.9vae.safetensors --model_tuned E:/models/sdxl/cinemaDiffusoXL_beta03.safetensors --dim 768 --device cuda --sdxl --dynamic_param 0.5 --dynamic_method sv_cumulative --verbose

D:\kohya_ss\.venv\Scripts\python.exe D:\kohya_ss\sd-scripts\networks\extract_lora_from_models-nw.py --save_precision fp16 --save_to E:/lora/sdxl/cinemaDiffusoXL_beta03_sv_ratio_0.5.safetensors --model_org E:/models/sdxl/base/sd_xl_base_1.0_0.9vae.safetensors --model_tuned E:/models/sdxl/cinemaDiffusoXL_beta03.safetensors --dim 768 --device cuda --sdxl --dynamic_param 0.5 --dynamic_method sv_ratio --verbose

D:\kohya_ss\.venv\Scripts\python.exe D:\kohya_ss\sd-scripts\networks\extract_lora_from_models-nw.py --save_precision fp16 --save_to E:/lora/sdxl/cinemaDiffusoXL_beta03_sv_knee.safetensors --model_org E:/models/sdxl/base/sd_xl_base_1.0_0.9vae.safetensors --model_tuned E:/models/sdxl/cinemaDiffusoXL_beta03.safetensors --dim 512 --device cuda --sdxl --dynamic_method sv_knee --verbose --dynamic_param 0.5

D:\kohya_ss\.venv\Scripts\python.exe D:\kohya_ss\sd-scripts\networks\extract_lora_from_models-nw.py `
--save_precision fp16 `
--save_to E:/lora/sdxl/lustifySDXLNSFW_oltFIXEDTEXTURES_sv_cumulative_knee.safetensors `
--model_tuned E:/models/sdxl/lustifySDXLNSFW_oltFIXEDTEXTURES.safetensors `
--model_org E:/models/sdxl/base/sd_xl_base_1.0_0.9vae.safetensors `
--dim 512 `
--device cuda `
--sdxl `
--dynamic_method sv_cumulative_knee `
--verbose `
--dynamic_param 0.25

D:\kohya_ss\.venv\Scripts\python.exe D:\kohya_ss\tools\extract_loha_from_tuned_model.py `
E:/models/sdxl/base/sd_xl_base_1.0_0.9vae.safetensors `
E:/models/sdxl/dreamshaperXL_alpha2Xl10.safetensors `
E:/lora/sdxl/dreamshaperXL_alpha2Xl10_loha_v2.safetensors `
--rank 4 `
--iterations 200 `
--lr 0.005 `
--device cuda `
--precision fp32 `
--verbose `
--verbose_layer_debug `
--save_weights_dtype fp16

D:\kohya_ss\.venv\Scripts\python.exe D:\kohya_ss\tools\extract_loha_from_tuned_model.py `
E:/models/sdxl/base/sd_xl_base_1.0_0.9vae.safetensors `
E:/models/sdxl/dreamshaperXL_alpha2Xl10.safetensors `
E:/lora/sdxl/dreamshaperXL_alpha2Xl10_loha_64_4000steps.safetensors `
--rank 64 `
--initial_alpha 32 `
--max_rank_doublings 2 `
--max_iterations 16000 `
--min_iterations 200 `
--target_loss 9.9999999e-8 `
--lr 0.05 `
--device cuda `
--precision fp32 `
--verbose `
--save_weights_dtype bf16



D:\kohya_ss\.venv\Scripts\python.exe D:\kohya_ss\tools\extract_loha_from_tuned_model.py `
E:/models/sdxl/base/sd_xl_base_1.0_0.9vae.safetensors `
E:/models/sdxl/dreamshaperXL_alpha2Xl10.safetensors `
E:/lora/sdxl/dreamshaperXL_alpha2Xl10_loha_16_16000steps.safetensors `
--rank 16 `
--initial_alpha 8 `
--max_rank_retries 3 `
--rank_increase_factor 1.5 `
--max_iterations 8000 `
--min_iterations 200 `
--target_loss 9.9999999e-8 `
--lr 0.05 `
--device cuda `
--precision fp32 `
--verbose `
--save_weights_dtype bf16

D:\kohya_ss\.venv\Scripts\python.exe D:\kohya_ss\tools\extract_loha_from_tuned_model.py `
E:/models/sdxl/base/sd_xl_base_1.0_0.9vae.safetensors `
E:/models/sdxl/dreamshaperXL_alpha2Xl10.safetensors `
E:/lora/sdxl/dreamshaperXL_alpha2Xl10_loha_16_8000steps.safetensors `
--rank 16 `
--initial_alpha 16 `
--max_rank_retries 6 `
--rank_increase_factor 2 `
--max_iterations 8000 `
--min_iterations 200 `
--target_loss 9.9999999e-8 `
--lr 0.05 `
--device cuda `
--precision fp32 `
--verbose `
--save_weights_dtype bf16

D:\kohya_ss\.venv\Scripts\python.exe D:\kohya_ss\tools\extract_loha_from_tuned_model.py `
E:/models/sdxl/base/sd_xl_base_1.0_0.9vae.safetensors `
E:/models/sdxl/lustifySDXLNSFW_oltFIXEDTEXTURES.safetensors `
E:/lora/sdxl/lustifySDXLNSFW_oltFIXEDTEXTURES_loha_16_8000steps.safetensors `
--rank 16 `
--initial_alpha 16 `
--max_rank_retries 6 `
--rank_increase_factor 2 `
--max_iterations 8000 `
--min_iterations 200 `
--target_loss 9.9999999e-8 `
--lr 0.1 `
--device cuda `
--precision fp32 `
--verbose `
--save_weights_dtype bf16


D:\kohya_ss\.venv\Scripts\python.exe D:\kohya_ss\tools\extract_loha_from_tuned_model.py `
E:/models/sdxl/base/sd_xl_base_1.0_0.9vae.safetensors `
E:/models/sdxl/aetherverseXL_v10.safetensors `
E:/lora/sdxl/aetherverseXL_v10_loha_9e-8.safetensors `
--rank 4 `
--initial_alpha 4 `
--max_rank_retries 27 `
--rank_increase_factor 1.2 `
--max_iterations 16000 `
--min_iterations 400 `
--target_loss 9e-8 `
--lr 1e-1 `
--device cuda `
--precision fp32 `
--verbose `
--save_weights_dtype bf16 `
--progress_check_interval 200 `
--advanced_projection_decay_cap_min 0.5 `
--advanced_projection_decay_cap_max 1.05 `
--min_progress_loss_ratio 0.000001 `
--projection_sample_interval 1 `
--projection_min_ema_history 100


D:\kohya_ss\.venv\Scripts\python.exe D:\kohya_ss\tools\extract_loha_from_tuned_model.py `
E:/models/sdxl/base/sd_xl_base_1.0_0.9vae.safetensors `
E:/models/sdxl/aetherverseXL_v10.safetensors `
E:/lora/sdxl/aetherverseXL_v10_loha_9e-8.safetensors `
--rank 4 `
--initial_alpha 4 `
--max_rank_retries 27 `
--rank_increase_factor 1.2 `
--max_iterations 16000 `
--min_iterations 400 `
--target_loss 9e-8 `
--lr 1e-1 `
--device cuda `
--precision fp32 `
--verbose `
--save_weights_dtype bf16 `
--progress_check_interval 200 `
--save_every_n_layers 10 `
--keep_n_resume_files 10

D:\kohya_ss\.venv\Scripts\python.exe D:\kohya_ss\tools\extract_loha_from_tuned_model.py `
E:/models/sdxl/base/sd_xl_base_1.0_0.9vae.safetensors `
E:/models/sdxl/proteus_v06.safetensors `
E:/lora/sdxl/proteus_v06_1e-7.safetensors `
--rank 4 `
--initial_alpha 4 `
--max_rank_retries 27 `
--rank_increase_factor 1.2 `
--max_iterations 16000 `
--min_iterations 400 `
--target_loss 1e-7 `
--lr 1e-1 `
--device cuda `
--precision fp32 `
--verbose `
--save_weights_dtype bf16 `
--progress_check_interval 200 `
--save_every_n_layers 10 `
--keep_n_resume_files 10


D:\kohya_ss\.venv\Scripts\python.exe D:\kohya_ss\tools\extract_loha_from_tuned_model.py `
E:/models/sdxl/base/sd_xl_base_1.0_0.9vae.safetensors `
E:/models/sdxl/dreamshaperXL_alpha2Xl10.safetensors `
E:/lora/sdxl/dreamshaperXL_alpha2Xl10_loha_1e-8v3.safetensors `
--rank 4 `
--initial_alpha 4 `
--max_rank_retries 29 `
--rank_increase_factor 1.2 `
--max_iterations 16000 `
--min_iterations 400 `
--target_loss 1e-8 `
--lr 1e-1 `
--device cuda `
--precision fp32 `
--verbose `
--save_weights_dtype bf16 `
--progress_check_interval 200 `
--advanced_projection_decay_cap_min 0.5 `
--advanced_projection_decay_cap_max 1.05 `
--min_progress_loss_ratio 0.000001 `
--projection_sample_interval 1 `
--projection_min_ema_history 100 `
--continue_training_from_loha E:/lora/sdxl/dreamshaperXL_alpha2Xl10_loha_1e-8v2_resume_L422.safetensors

D:\kohya_ss\.venv\Scripts\python.exe D:\kohya_ss\tools\extract_loha_from_tuned_model.py `
E:/models/sdxl/base/sd_xl_base_1.0_0.9vae.safetensors `
E:/models/sdxl/lustifySDXLNSFW_oltFIXEDTEXTURES.safetensors `
E:/lora/sdxl/lustifySDXLNSFW_oltFIXEDTEXTURES_loha_9e-8.safetensors `
--rank 4 `
--initial_alpha 4 `
--max_rank_retries 27 `
--rank_increase_factor 1.2 `
--max_iterations 16000 `
--min_iterations 400 `
--target_loss 1e-7 `
--lr 1e-1 `
--device cuda `
--precision fp32 `
--verbose `
--save_weights_dtype bf16 `
--progress_check_interval 200 `
--advanced_projection_decay_cap_min 0.5 `
--advanced_projection_decay_cap_max 1.05 `
--min_progress_loss_ratio 0.000001 `
--projection_sample_interval 1 `
--projection_min_ema_history 100

C:\Users\berna\Downloads\Dune_Movie_Loha2.safetensors

D:\kohya_ss\.venv\Scripts\python.exe D:\kohya_ss\sd-scripts\networks\extract_lora_from_models-nw.py `
--save_to E:/lora/sdxl/dreamshaperXL_alpha2Xl10_loha.safetensors `
--model_org_path E:/models/sdxl/base/sd_xl_base_1.0_0.9vae.safetensors `
--model_tuned_path E:/models/sdxl/dreamshaperXL_alpha2Xl10.safetensors `
--algo loha `
--network_alpha 64 `
--network_dim 4 `
--conv_alpha 64 `
--conv_dim 4 `
--device cuda `
--sdxl `
--save_precision fp16 `
--verbose

D:\kohya_ss\.venv\Scripts\python.exe D:\kohya_ss\tools\extract_model_difference.py `
E:/models/sdxl/base/sd_xl_base_1.0_0.9vae.safetensors `
E:/models/sdxl/dreamshaperXL_alpha2Xl10.safetensors `
--save_dtype float16

--model_org_path E:/models/sdxl/base/sd_xl_base_1.0_0.9vae.safetensors `
--model_tuned_path E:/models/sdxl/dreamshaperXL_alpha2Xl10.safetensors `
--algo loha `
--network_alpha 64 `
--network_dim 4 `
--conv_alpha 64 `
--conv_dim 4 `
--device cuda `
--sdxl `
--save_precision fp16 `
--verbose

D:\kohya_ss\.venv\Scripts\python.exe D:\kohya_ss\sd-scripts\networks\extract_lora_from_models-nw.py --save_to E:/lora/sdxl/dreamshaperXL_alpha2Xl10_loha.safetensors --model_org E:/models/sdxl/base/sd_xl_base_1.0_0.9vae.safetensors --model_tuned E:/models/sdxl/dreamshaperXL_alpha2Xl10.safetensors --algo loha --sdxl --dim 32 --conv_dim 32 --dynamic_method sv_cumulative --dynamic_param 0.99 --save_precision fp16 --device cuda --verbose

D:\kohya_ss\.venv\Scripts\python.exe D:\kohya_ss\sd-scripts\networks\extract_lora_from_models-nw.py ^
    --model_org_path "D:\StableDiffusion\models\sdxl_base_1.0.safetensors" ^
    --model_tuned_path "D:\StableDiffusion\models\my_sdxl_finetune.safetensors" ^
    --save_to "C:\LoRA_Extractor\output\my_loha_sdxl.safetensors" ^
    --sdxl ^
    --algo loha ^
    --network_alpha 64 ^
    --network_dim 4 ^
    --conv_alpha 64 ^
    --conv_dim 4 ^
    --save_precision bf16 ^
    --device cuda ^
    --verbose

sv_cumulative_knee

D:\kohya_ss\.venv\Scripts\python.exe D:\kohya_ss\sd-scripts\networks\extract_lora_from_models-nw.py --save_precision fp16 --save_to E:/lora/sdxl/cinemaDiffusoXL_beta03_two_pass_energy_512.safetensors --model_org E:/models/sdxl/base/sd_xl_base_1.0_0.9vae.safetensors --model_tuned E:/models/sdxl/cinemaDiffusoXL_beta03.safetensors --total_rank_budget 2048 --device cuda --sdxl --svd_mode per_layer --dynamic_param 1.0 --dynamic_method two_pass_energy --verbose --min_rank 4 --max_rank 32

D:\kohya_ss\.venv\Scripts\python.exe D:\kohya_ss\sd-scripts\networks\extract_lora_from_models-nw.py ^
  --save_precision bf16 ^
  --save_to E:/lora/sdxl/cinemaDiffusoXL_beta03_two_pass_energy_512.safetensors ^
  --model_org E:/models/sdxl/base/sd_xl_base_1.0_0.9vae.safetensors ^
  --model_tuned E:/models/sdxl/cinemaDiffusoXL_beta03.safetensors ^
  --dim 512 ^
  --device cuda ^
  --sdxl ^
  --target_fro_retained 0.5 ^
  --group_size 6 ^
  --svd_mode per_layer ^
  --dynamic_method two_pass_energy ^
  --dynamic_param 1.0 ^
  --min_rank 4 ^
  --verbose