accelerate launch --num_cpu_threads_per_process 1 anima_train_network.py \ --pretrained_model_name_or_path="/workspace/model.safetensors" \ --qwen3="/workspace/qwen.safetensors" \ --vae="/workspace/qwen-vae.safetensors" \ --dataset_config="/workspace/dataset.toml" \ --output_dir="/workspace/kohya_ss/dataset/result-4000" \ --output_name="" \ --save_model_as=safetensors \ --network_module=networks.lora_anima \ --network_dim=32 \ --network_alpha=16 \ --learning_rate=2e-5 \ --optimizer_type="AdamW8bit" \ --lr_scheduler="constant" \ --timestep_sampling="sigmoid" \ --discrete_flow_shift=1.0 \ --max_train_steps="2500" \ --save_every_n_epochs=1 \ --mixed_precision="bf16" \ --gradient_checkpointing \ --cache_latents \ --vae_chunk_size=64 \ --vae_disable_cache \ --optimizer_args="decouple=True" \ --optimizer_args="betas=0.9,0.99" \ --optimizer_args="weight_decay=0.05" \ --llm_adapter_lr=0 \ --xformers \ --network_args="rank_dropout=0.1" \ --network_args="module_dropout=0.1" \ --sigmoid_scale=1.3