Thank you so much! But I ma getting the following error ## fine_tune.py: error: unrecognized arguments: --no_half_vae ## the following is the full training commad ====== :: ======= accelerate launch --num_cpu_threads_per_process=4 "/kaggle/working/kohya_ss/sd-scripts/fine_tune.py" --max_grad_norm=0.0 --no_half_vae --ddp_timeout=10000000 --ddp_gradient_as_bucket_view --bucket_no_upscale --bucket_reso_steps=64 --cache_latents --cache_latents_to_disk --dataset_repeats="40" --enable_bucket --min_bucket_reso=256 --max_bucket_reso=2048 --in_json="/meta_lat.json" --learning_rate="7e-07" --learning_rate_te="7e-07" --logging_dir="G:\automatic1111\stable-diffusion-webui\models\Stable-diffusion\sd15train\logs" --lr_scheduler="constant" --max_data_loader_n_workers="0" --resolution="768,768" --max_train_steps="26240" --mixed_precision="no" --optimizer_args scale_parameter=False relative_step=False warmup_init=False weight_decay=0.01 --optimizer_type="Adafactor" --output_dir="G:\automatic1111\stable-diffusion-webui\models\Stable-diffusion\sd15train" --output_name="tier_2_quality_speed" --pretrained_model_name_or_path="MonsterMMORPG/sd15_best_realism" --save_every_n_epochs="1" --save_model_as=safetensors --save_precision="float" --train_batch_size="1" --train_data_dir="/kaggle/input/test-all" --train_text_encoder --xformers
, is there an optimal number of images? I've seen anywhere from 5 to 15 . i seen some sources saying 12 images, some say 5, etc. (for SDXL training dreambooth)
