TLFZ commited on
Commit
817a608
·
verified ·
1 Parent(s): 5cfc23b

Upload 20250128-024014.toml

Browse files
Files changed (1) hide show
  1. 20250128-024014.toml +56 -0
20250128-024014.toml ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ pretrained_model_name_or_path = "D:/stablediffusion/SD-Trainer/sd-models/noobaiXLNAIXL_vPred10Version.safetensors"
2
+ vae = "D:\\stablediffusion\\SD-Trainer\\VAE\\sdxl-vae-fp16-fix.safetensors"
3
+ train_data_dir = "D:/stablediffusion/SD-Trainer/train/train/画风训练/winter memories/winter memories/winter memories"
4
+ reg_data_dir = "D:/stablediffusion/SD-Trainer/train/正则化训练集存放处"
5
+ prior_loss_weight = 1
6
+ resolution = "1024,1024"
7
+ enable_bucket = true
8
+ min_bucket_reso = 256
9
+ max_bucket_reso = 4096
10
+ bucket_reso_steps = 32
11
+ bucket_no_upscale = true
12
+ output_name = "winter memories v1.0"
13
+ output_dir = "./output"
14
+ save_model_as = "safetensors"
15
+ save_precision = "bf16"
16
+ save_every_n_epochs = 1
17
+ save_state = true
18
+ max_train_epochs = 34
19
+ train_batch_size = 2
20
+ gradient_checkpointing = true
21
+ gradient_accumulation_steps = 8
22
+ network_train_unet_only = true
23
+ network_train_text_encoder_only = false
24
+ learning_rate = 0.0004
25
+ unet_lr = 0.0004
26
+ text_encoder_lr = 5e-5
27
+ lr_scheduler = "cosine"
28
+ lr_warmup_steps = 0
29
+ optimizer_type = "AdamW"
30
+ min_snr_gamma = 5
31
+ network_module = "lycoris.kohya"
32
+ network_dim = 100000
33
+ network_alpha = 1
34
+ sample_sampler = "euler"
35
+ sample_every_n_epochs = 1
36
+ log_with = "tensorboard"
37
+ logging_dir = "./logs"
38
+ caption_extension = ".txt"
39
+ shuffle_caption = true
40
+ keep_tokens = 1
41
+ max_token_length = 255
42
+ seed = 1337
43
+ mixed_precision = "bf16"
44
+ full_bf16 = true
45
+ xformers = true
46
+ lowram = false
47
+ cache_latents = true
48
+ cache_latents_to_disk = true
49
+ persistent_data_loader_workers = true
50
+ network_args = [ "conv_dim=8", "conv_alpha=1", "dropout=0", "algo=lokr", "factor=8", "train_norm=True", "preset=attn-mlp",]
51
+ optimizer_args = [ "weight_decay=0.1", "betas=0.9,0.99",]
52
+ v_parameterization = true
53
+ zero_terminal_snr = true
54
+ multires_noise_iterations = 6
55
+ multires_noise_discount = 0.3
56
+ sample_prompts = "D:\\stablediffusion\\SD-Trainer\\config\\autosave\\20250128-024014-promopt.txt"