accelerate launch --num_cpu_threads_per_process 8 anima_train_network.py --pretrained_model_name_or_path="D:\Stability_Matrix\Data\Models\DiffusionModels\anima-base-v1.0.safetensors" --qwen3="D:\Stability_Matrix\Data\Models\TextEncoders\qwen_3_06b_base.safetensors" --vae="D:\Stability_Matrix\Data\Models\VAE\qwen_image_vae.safetensors" --output_dir="D:\sd\LoRA\Executable_file\outputs" --output_name="TEST_ANIMA1_" --dataset_config="D:\sd\LoRA\Executable_file\datasetconfig.toml" --resolution=1344,2560 --optimizer_type=adamw --learning_rate=1e-4 --text_encoder_lr=1e-5 --network_module=networks.lora_anima --network_dim=64 --network_alpha=16 --train_batch_size=4 --max_train_epochs=40 --save_every_n_epochs=10 --seed=42 --mixed_precision=bf16 --save_precision=bf16 --gradient_checkpointing --persistent_data_loader_workers --max_data_loader_n_workers=4 --caption_dropout_rate=0 --shuffle_caption --enable_bucket --min_bucket_reso=1344 --max_bucket_reso=2560 --bucket_reso_steps=64 --keep_tokens=1 --save_model_as=safetensors --cache_latents --vae_batch_size=4 --vae_chunk_size=64 --vae_disable_cache --timestep_sampling=sigmoid --discrete_flow_shift=1.0