scripts/anima_train.sh

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="<replace>" \
  --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