I can only set it in train_network.py. I tried printing args.train_batch_size, it is always 1 no matter how I set it. Here is the command I used: accelerate launch ^ --num_cpu_threads_per_process=2 "D:\KohyaGUI\kohya_ss\sdxl_train_network.py" ^ ...
sd-scripts uses accelerate which supports DDP, DeepSpeed, FSDP etc.. When you use multi-gpu environment, batch will be multiplied by number of your gpus. For example, if you use 4 gpus and 4 train batch size, then accelerate uses total 16 batch size = 4 gpus x 4 train batch size. ...
accelerator.print(f" batch size per device / バッチサイズ: {args.train_batch_size}") accelerator.print( f" total train batch size (with parallel & distributed & accumulation) / 総バッチサイズ(並列学習、勾配合計含む): {total_batch_size}" ...
batch_size=8 # batch size vae_batch_size=4 #vae初始化转换图片批处理大小,2-4。大了可以让一开始处理图片更快 max_train_epoches=20 # max train epoches | 最大训练 epoch save_every_n_epochs=1 # sa2ve every n epochs | 每 N 个 epoch 保存一次 gradient_checkpointing=1 #梯度检查,...
1212 fit_inputs = x + y + sample_weights-> 1213 self._make_train_function() 1214 fit_function = self.train_function 1215 /us 分享回复赞 novelai吧 强攻郭敬明 kohya_ss训练lora时报错,有大佬指点下吗===BUG REPORT=== Welcome to bitsandbytes. For bug reports, please submit your error tra...
File “/content/kohya_ss/library/config_util.py”, line 494, in generate_dataset_group_by_blueprint dataset.make_buckets() File “/content/kohya_ss/library/train_util.py”, line 738, in make_buckets info.image_size = self.get_image_size(info.absolute_path) ...
train_batch_size}") print(f" total train batch size (with parallel & distributed & accumulation) / 総バッチサイズ(並列学習、勾配合計含む): {total_batch_size}") print(f" gradient ccumulation steps / 勾配を合計するステップ数 = {args.gradient_accumulation_steps}") print(f" total ...
FileNotFoundError: Could not find module 'C:\Kohya\Kohya_ss\venv\lib\site-packages\bitsandbytes\libbitsandbytes_cuda116.dll' (or one of its dependencies). Try using the full path with constructor syntax. Traceback (most recent call last)...
batch_size=args.get("batch_size"), image_dir=train_images_dir, conditioning_data_dir=conditioning_images_dir, caption_extension=caption_extension, num_repeats=args.get("num_repeats"), ) return ( train_images_dir, ) def MZ_KohyaSSUseConfig_call(args={}): args = args.copy...
batch_size=1, shuffle=True, collate_fn=collator, num_workers=n_workers, persistent_workers=args.persistent_data_loader_workers, ) # 学習ステップ数を計算する if args.max_train_epochs is not None: args.max_train_steps = args.max_train_epochs * math.ceil( len(train_dataloader...