train.sh

accelerate launch \
  --mixed_precision bf16 \
  --num_cpu_threads_per_process 1 \
  sd-scripts/flux_train_network.py \
  --pretrained_model_name_or_path "/workspace/fluxgym/models/unet/flux1-dev.sft" \
  --clip_l "/workspace/fluxgym/models/clip/clip_l.safetensors" \
  --t5xxl "/workspace/fluxgym/models/clip/t5xxl_fp16.safetensors" \
  --ae "/workspace/fluxgym/models/vae/ae.sft" \
  --cache_latents_to_disk \
  --save_model_as safetensors \
  --sdpa --persistent_data_loader_workers \
  --max_data_loader_n_workers 2 \
  --seed 42 \
  --gradient_checkpointing \
  --mixed_precision bf16 \
  --save_precision bf16 \
  --network_module networks.lora_flux \
  --network_dim 64 \
  --optimizer_type adamw8bit \--sample_prompts="/workspace/fluxgym/outputs/penbul/sample_prompts.txt" --sample_every_n_steps="250" \
  --learning_rate 1e-4 \
  --cache_text_encoder_outputs \
  --cache_text_encoder_outputs_to_disk \
  --fp8_base \
  --highvram \
  --max_train_epochs 20 \
  --save_every_n_epochs 1 \
  --dataset_config "/workspace/fluxgym/outputs/penbul/dataset.toml" \
  --output_dir "/workspace/fluxgym/outputs/penbul" \
  --output_name penbul \
  --timestep_sampling shift \
  --discrete_flow_shift 3.1582 \
  --model_prediction_type raw \
  --guidance_scale 1 \
  --loss_type l2 \
  --adaptive_noise_scale 1.0 \
  --bucket_reso_steps 64 \
  --cache_latents \
  --clip_skip 2 \
  --console_log_level DEBUG \
  --enable_bucket \
  --gradient_accumulation_steps 2 \
  --lr_scheduler_timescale 0 \
  --max_bucket_reso 1024 \
  --max_train_steps 7000 \
  --max_validation_steps 10 \
  --mem_eff_attn \
  --min_bucket_reso 256 \
  --network_alpha 32 \
  --network_dropout 0.1 \
  --noise_offset 0.1 \
  --offload_optimizer_device cpu \
  --resolution 768,768 \
  --train_batch_size 4 \
  --xformers