基本上,默认是没有问题的。 3.4.18 Optimizer extra arguments 优化器额外参数 如果你想对指定的优化器进行更详细的设置,请将命令写在此处。 通常您可以将其留空。 3.4.19Text Encoder learning rate文本编码器学习率 设置文本编码器的学习率。正如我在开头所写的,额外训练对文本编码器的影响延伸到了整个 U-Net。
"num_processes": 1, "optimizer": "AdamW8bit", "optimizer_args": "", "output_dir": "/data/kohya_ss/outputs", "output_name": "tianqiong1", "persistent_data_loader_workers": false, "pretrained_model_name_or_path": "runwayml/stable-diffusion-v1-5", "prior_loss_weight": 1, "ran...
'--mixed_precision=fp16', '--save_precision=fp16', '--cache_latents', '--optimizer_type=AdamW8bit','--max_data_loader_n_workers=0', '--bucket_reso_steps=64', '--xformers', '--bucket_no_upscale']' returned non-zero exitstatus 1. 送TA礼物 1楼2023-06-29 02:16回复 唐...
optimizer: AdamW8bit # 迭代次数 steps: 5000 # 其他参数设置... 路径与文件管理:定义必要的路径与文件夹 文件路径和文件夹结构的正确设置对于训练过程至关重要。确保在训练参数中定义了以下路径: # 训练参数配置 train: # 图片路径 input_path: /path/to/train/images # 输出路径,用于保存训练结果 output_pat...
kohya_ss提供了很多可以调节的参数,比如batchsize,learning rate, optimizer等等。可以根据自己实际情况进行配置。 参数说明: train_batch_size:训练批处理大小,指定同时训练图像的数量,默认值1,数值越大,训练时间越短,消耗内存越多。 Number of CPU threads per core:训练期间每个CPU核心的线程数。基本上,数字越高...
"optimizer_args": "scale_parameter=False relative_step=False warmup_init=False weight_decay=0.01", "output_dir": "W:/path/to/training/model", "output_name": "LoRA_Name", "persistent_data_loader_workers": false, "pretrained_model_name_or_path": "S:/path/to/models/flux1-dev-fp8.saf...
Use Adafactor optimizer. RMSprop 8bit or Adagrad 8bit may work. AdamW 8bit doesn't seem to work. The LoRA training can be done with 12GB GPU memory. --network_train_unet_only option is highly recommended for SDXL LoRA. Because SDXL has two text encoders, the result of the training ...
'--train_batch_size=1', '--max_train_steps=1500', '--save_every_n_epochs=1', '--mixed_precision=fp16', '--save_precision=fp16', '--cache_latents', '--optimizer_type=AdamW8bit', '--bucket_reso_steps=64', '--xformers', '--bucket_no_upscale']' returned non-zero exit ...
Optimizer The optimizer. Configure the parameter based on your business requirements. The default value is AdamW8bit. The value DAdaptation indicates that automatic optimization is enabled. Max Resolution The maximum resolution. Configure the parameter based on your business requirements. Networ...
Improving GPU Load:UtilizingadamW8bitoptimizer and increasing the batch size can help achieve 70-80% GPU utilization without exceeding GPU memory limits. SDXL training The documentation in this section will be moved to a separate document later. ...