File size: 1,785 Bytes
a6372c1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
[[subsets]]
num_repeats = 1
keep_tokens = 1
caption_extension = ".txt"
shuffle_caption = true
flip_aug = false
color_aug = false
random_crop = true
is_reg = false
image_dir = "C:/Users/nousa/Videos/micket"

[sample_args]

[logging_args]

[general_args.args]
pretrained_model_name_or_path = "C:/A/stable-diffusion-webui/models/Stable-diffusion/fluffyrock-576-704-832-960-1088-lion-low-lr-e159-terminal-snr-vpred-e132.safetensors"
mixed_precision = "bf16"
seed = 31337
max_data_loader_n_workers = 1
persistent_data_loader_workers = true
max_token_length = 225
prior_loss_weight = 1.0
v_parameterization = true
scale_v_pred_loss_like_noise_pred = true
clip_skip = 1
xformers = true
max_train_epochs = 26

[general_args.dataset_args]
resolution = [ 768, 512,]
batch_size = 2

[network_args.args]
network_dim = 16
network_alpha = 8.0
min_timestep = 0
max_timestep = 1000
network_dropout = 0.3

[optimizer_args.args]
optimizer_type = "Prodigy"
lr_scheduler = "cosine"
learning_rate = 1.0
max_grad_norm = 1.0
min_snr_gamma = 5
scale_weight_norms = 5.0
zero_terminal_snr = true

[saving_args.args]
output_dir = "C:/A/stable-diffusion-webui/models/Lora/week2fluffy"
save_precision = "fp16"
save_model_as = "safetensors"
output_name = "week2fluffy"
save_every_n_epochs = 4
save_toml = true
save_toml_location = "/home/myuser/stable-diffusion-webui/models/Lora/training"

[bucket_args.dataset_args]
enable_bucket = true
min_bucket_reso = 384
max_bucket_reso = 1536
bucket_reso_steps = 64

[noise_args.args]
multires_noise_iterations = 6
multires_noise_discount = 0.3

[network_args.args.network_args]
conv_dim = 8
conv_alpha = 4.0

[optimizer_args.args.optimizer_args]
weight_decay = "0.1"
betas = "0.9,0.99"
safeguard_warmup = "False"
use_bias_correction = "True"
d_coef = "2"
decouple = "True"