I used sd-scripts (kohya_ss CUI).

stage_c_checkpoint_path = "/home/aaa/StableCascade/models/stage_c_bf16.safetensors"

effnet_checkpoint_path = "/home/aaa/StableCascade/models/effnet_encoder.safetensors"

text_model_checkpoint_path = "/home/aaa/model.safetensors"

dataset_config = "data3.toml"

output_dir = "/home/aaa/sdxl/testrun2"

output_name = "12123-sc-test2"

resolution = "1024,1024"

train_batch_size = 1

max_train_steps = 5000

bucket_reso_steps = 128

enable_bucket = true

bucket_no_upscale = true

full_bf16 = true

#fp8_base = true

network_dim = 64

network_alpha = 64

save_model_as = "safetensors"

optimizer_type = "adafactor"

optimizer_args = [ "scale_parameter=False", "relative_step=False", "warmup_init=False" ]

lr_scheduler = "constant_with_warmup"

lr_warmup_steps = 100

learning_rate = 0.0001

xformers = true

mixed_precision = "bf16"

save_precision = "bf16"

cache_latents = true

cache_latents_to_disk = true

gradient_checkpointing = true

#save_every_n_epochs = 1

save_every_n_steps = 500

min_timestep = 0

max_timestep = 1000

network_module = "networks.lora"

train_text_encoder = false

adaptive_loss_weight = true

#cache_text_encoder_outputs = true

#cache_text_encoder_outputs_to_disk = true

#mem_eff_attn = true

shuffle_caption = true

pretrained_model_name_or_path = "/home/aaa/StableCascade/models/stage_c_bf16.safetensors"