accelerate launch \ | |
--mixed_precision bf16 \ | |
--num_cpu_threads_per_process 1 \ | |
sd-scripts/flux_train_network.py \ | |
--pretrained_model_name_or_path "/home/admin/fluxgym/models/unet/flux1-dev.sft" \ | |
--clip_l "/home/admin/fluxgym/models/clip/clip_l.safetensors" \ | |
--t5xxl "/home/admin/fluxgym/models/clip/t5xxl_fp16.safetensors" \ | |
--ae "/home/admin/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 4 \ | |
--optimizer_type adamw8bit \--sample_prompts="/home/admin/fluxgym/outputs/ilya-4/sample_prompts.txt" --sample_every_n_steps="200" \ | |
--learning_rate 8e-4 \ | |
--cache_text_encoder_outputs \ | |
--cache_text_encoder_outputs_to_disk \ | |
--fp8_base \ | |
--highvram \ | |
--max_train_epochs 16 \ | |
--save_every_n_epochs 4 \ | |
--dataset_config "/home/admin/fluxgym/outputs/ilya-4/dataset.toml" \ | |
--output_dir "/home/admin/fluxgym/outputs/ilya-4" \ | |
--output_name ilya-4 \ | |
--timestep_sampling shift \ | |
--discrete_flow_shift 3.1582 \ | |
--model_prediction_type raw \ | |
--guidance_scale 1 \ | |
--loss_type l2 \ |