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Browse files- .keep +0 -0
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|
Bevzyuk_2_20241021-064028.json
ADDED
@@ -0,0 +1,201 @@
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107 |
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"mid_lr_weight": "",
|
108 |
+
"min_bucket_reso": 256,
|
109 |
+
"min_snr_gamma": 0,
|
110 |
+
"min_timestep": 0,
|
111 |
+
"mixed_precision": "bf16",
|
112 |
+
"model_list": "custom",
|
113 |
+
"model_prediction_type": "raw",
|
114 |
+
"module_dropout": 0,
|
115 |
+
"multi_gpu": false,
|
116 |
+
"multires_noise_discount": 0.3,
|
117 |
+
"multires_noise_iterations": 0,
|
118 |
+
"network_alpha": 128,
|
119 |
+
"network_dim": 128,
|
120 |
+
"network_dropout": 0,
|
121 |
+
"network_weights": "",
|
122 |
+
"noise_offset": 0,
|
123 |
+
"noise_offset_random_strength": false,
|
124 |
+
"noise_offset_type": "Original",
|
125 |
+
"num_cpu_threads_per_process": 2,
|
126 |
+
"num_machines": 1,
|
127 |
+
"num_processes": 4,
|
128 |
+
"optimizer": "Adafactor",
|
129 |
+
"optimizer_args": "scale_parameter=False relative_step=False warmup_init=False weight_decay=0.01",
|
130 |
+
"output_dir": "/workspace/kohya_ss/models",
|
131 |
+
"output_name": "Bevzyuk_2",
|
132 |
+
"persistent_data_loader_workers": false,
|
133 |
+
"pretrained_model_name_or_path": "/workspace/flux1-dev.safetensors",
|
134 |
+
"prior_loss_weight": 1,
|
135 |
+
"random_crop": false,
|
136 |
+
"rank_dropout": 0,
|
137 |
+
"rank_dropout_scale": false,
|
138 |
+
"reg_data_dir": "",
|
139 |
+
"rescaled": false,
|
140 |
+
"resume": "",
|
141 |
+
"resume_from_huggingface": "",
|
142 |
+
"sample_every_n_epochs": 0,
|
143 |
+
"sample_every_n_steps": 0,
|
144 |
+
"sample_prompts": "",
|
145 |
+
"sample_sampler": "euler_a",
|
146 |
+
"save_every_n_epochs": 25,
|
147 |
+
"save_every_n_steps": 0,
|
148 |
+
"save_last_n_epochs_state": 0,
|
149 |
+
"save_last_n_steps": 0,
|
150 |
+
"save_last_n_steps_state": 0,
|
151 |
+
"save_model_as": "safetensors",
|
152 |
+
"save_precision": "float",
|
153 |
+
"save_state": false,
|
154 |
+
"save_state_on_train_end": false,
|
155 |
+
"save_state_to_huggingface": false,
|
156 |
+
"scale_v_pred_loss_like_noise_pred": false,
|
157 |
+
"scale_weight_norms": 0,
|
158 |
+
"sdxl": false,
|
159 |
+
"sdxl_cache_text_encoder_outputs": false,
|
160 |
+
"sdxl_no_half_vae": false,
|
161 |
+
"seed": 1,
|
162 |
+
"shuffle_caption": false,
|
163 |
+
"single_dim": "",
|
164 |
+
"single_mod_dim": "",
|
165 |
+
"skip_cache_check": false,
|
166 |
+
"split_mode": false,
|
167 |
+
"split_qkv": false,
|
168 |
+
"stop_text_encoder_training": 0,
|
169 |
+
"t5xxl": "/workspace/t5xxl_fp16.safetensors",
|
170 |
+
"t5xxl_lr": 0,
|
171 |
+
"t5xxl_max_token_length": 512,
|
172 |
+
"text_encoder_lr": 5e-05,
|
173 |
+
"timestep_sampling": "sigmoid",
|
174 |
+
"train_batch_size": 1,
|
175 |
+
"train_blocks": "all",
|
176 |
+
"train_data_dir": "/workspace/kohya_ss/img",
|
177 |
+
"train_double_block_indices": "all",
|
178 |
+
"train_norm": false,
|
179 |
+
"train_on_input": true,
|
180 |
+
"train_single_block_indices": "all",
|
181 |
+
"train_t5xxl": false,
|
182 |
+
"training_comment": "",
|
183 |
+
"txt_attn_dim": "",
|
184 |
+
"txt_mlp_dim": "",
|
185 |
+
"txt_mod_dim": "",
|
186 |
+
"unet_lr": 5e-05,
|
187 |
+
"unit": 1,
|
188 |
+
"up_lr_weight": "",
|
189 |
+
"use_cp": false,
|
190 |
+
"use_scalar": false,
|
191 |
+
"use_tucker": false,
|
192 |
+
"v2": false,
|
193 |
+
"v_parameterization": false,
|
194 |
+
"v_pred_like_loss": 0,
|
195 |
+
"vae": "",
|
196 |
+
"vae_batch_size": 4,
|
197 |
+
"wandb_api_key": "",
|
198 |
+
"wandb_run_name": "",
|
199 |
+
"weighted_captions": false,
|
200 |
+
"xformers": "sdpa"
|
201 |
+
}
|
config_lora-20241021-063928.toml
ADDED
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
ae = "/workspace/ae.safetensors"
|
2 |
+
apply_t5_attn_mask = true
|
3 |
+
bucket_no_upscale = true
|
4 |
+
bucket_reso_steps = 64
|
5 |
+
cache_latents = true
|
6 |
+
cache_latents_to_disk = true
|
7 |
+
cache_text_encoder_outputs = true
|
8 |
+
cache_text_encoder_outputs_to_disk = true
|
9 |
+
caption_extension = ".txt"
|
10 |
+
clip_l = "/workspace/clip_l.safetensors"
|
11 |
+
discrete_flow_shift = 3.1582
|
12 |
+
dynamo_backend = "no"
|
13 |
+
epoch = 200
|
14 |
+
full_bf16 = true
|
15 |
+
gradient_accumulation_steps = 1
|
16 |
+
gradient_checkpointing = true
|
17 |
+
guidance_scale = 1.0
|
18 |
+
highvram = true
|
19 |
+
huber_c = 0.1
|
20 |
+
huber_schedule = "snr"
|
21 |
+
loss_type = "l2"
|
22 |
+
lr_scheduler = "constant"
|
23 |
+
lr_scheduler_args = []
|
24 |
+
lr_scheduler_num_cycles = 1
|
25 |
+
lr_scheduler_power = 1
|
26 |
+
max_bucket_reso = 2048
|
27 |
+
max_data_loader_n_workers = 0
|
28 |
+
max_timestep = 1000
|
29 |
+
max_train_steps = 5600
|
30 |
+
mem_eff_save = true
|
31 |
+
min_bucket_reso = 256
|
32 |
+
mixed_precision = "bf16"
|
33 |
+
model_prediction_type = "raw"
|
34 |
+
network_alpha = 128
|
35 |
+
network_args = [ "train_double_block_indices=all", "train_single_block_indices=all",]
|
36 |
+
network_dim = 128
|
37 |
+
network_module = "networks.lora_flux"
|
38 |
+
noise_offset_type = "Original"
|
39 |
+
optimizer_args = [ "scale_parameter=False", "relative_step=False", "warmup_init=False", "weight_decay=0.01",]
|
40 |
+
optimizer_type = "Adafactor"
|
41 |
+
output_dir = "/workspace/kohya_ss/models"
|
42 |
+
output_name = "Bevzyuk_2"
|
43 |
+
pretrained_model_name_or_path = "/workspace/flux1-dev.safetensors"
|
44 |
+
prior_loss_weight = 1
|
45 |
+
resolution = "1024,1024"
|
46 |
+
sample_prompts = "/workspace/kohya_ss/models/sample/prompt.txt"
|
47 |
+
sample_sampler = "euler_a"
|
48 |
+
save_every_n_epochs = 25
|
49 |
+
save_model_as = "safetensors"
|
50 |
+
save_precision = "float"
|
51 |
+
sdpa = true
|
52 |
+
seed = 1
|
53 |
+
t5xxl = "/workspace/t5xxl_fp16.safetensors"
|
54 |
+
t5xxl_max_token_length = 512
|
55 |
+
text_encoder_lr = [ 5e-5, 5e-5,]
|
56 |
+
timestep_sampling = "sigmoid"
|
57 |
+
train_batch_size = 1
|
58 |
+
train_data_dir = "/workspace/kohya_ss/img"
|
59 |
+
unet_lr = 5e-5
|
60 |
+
vae_batch_size = 4
|
61 |
+
wandb_run_name = "Bevzyuk_2"
|
config_lora-20241021-064028.toml
ADDED
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
ae = "/workspace/ae.safetensors"
|
2 |
+
apply_t5_attn_mask = true
|
3 |
+
bucket_no_upscale = true
|
4 |
+
bucket_reso_steps = 64
|
5 |
+
cache_latents = true
|
6 |
+
cache_latents_to_disk = true
|
7 |
+
cache_text_encoder_outputs = true
|
8 |
+
cache_text_encoder_outputs_to_disk = true
|
9 |
+
caption_extension = ".txt"
|
10 |
+
clip_l = "/workspace/clip_l.safetensors"
|
11 |
+
discrete_flow_shift = 3.1582
|
12 |
+
dynamo_backend = "no"
|
13 |
+
epoch = 200
|
14 |
+
full_bf16 = true
|
15 |
+
gradient_accumulation_steps = 1
|
16 |
+
gradient_checkpointing = true
|
17 |
+
guidance_scale = 1.0
|
18 |
+
highvram = true
|
19 |
+
huber_c = 0.1
|
20 |
+
huber_schedule = "snr"
|
21 |
+
loss_type = "l2"
|
22 |
+
lr_scheduler = "constant"
|
23 |
+
lr_scheduler_args = []
|
24 |
+
lr_scheduler_num_cycles = 1
|
25 |
+
lr_scheduler_power = 1
|
26 |
+
max_bucket_reso = 2048
|
27 |
+
max_data_loader_n_workers = 0
|
28 |
+
max_timestep = 1000
|
29 |
+
max_train_steps = 5600
|
30 |
+
mem_eff_save = true
|
31 |
+
min_bucket_reso = 256
|
32 |
+
mixed_precision = "bf16"
|
33 |
+
model_prediction_type = "raw"
|
34 |
+
network_alpha = 128
|
35 |
+
network_args = [ "train_double_block_indices=all", "train_single_block_indices=all",]
|
36 |
+
network_dim = 128
|
37 |
+
network_module = "networks.lora_flux"
|
38 |
+
noise_offset_type = "Original"
|
39 |
+
optimizer_args = [ "scale_parameter=False", "relative_step=False", "warmup_init=False", "weight_decay=0.01",]
|
40 |
+
optimizer_type = "Adafactor"
|
41 |
+
output_dir = "/workspace/kohya_ss/models"
|
42 |
+
output_name = "Bevzyuk_2"
|
43 |
+
pretrained_model_name_or_path = "/workspace/flux1-dev.safetensors"
|
44 |
+
prior_loss_weight = 1
|
45 |
+
resolution = "1024,1024"
|
46 |
+
sample_prompts = "/workspace/kohya_ss/models/sample/prompt.txt"
|
47 |
+
sample_sampler = "euler_a"
|
48 |
+
save_every_n_epochs = 25
|
49 |
+
save_model_as = "safetensors"
|
50 |
+
save_precision = "float"
|
51 |
+
sdpa = true
|
52 |
+
seed = 1
|
53 |
+
t5xxl = "/workspace/t5xxl_fp16.safetensors"
|
54 |
+
t5xxl_max_token_length = 512
|
55 |
+
text_encoder_lr = [ 5e-5, 5e-5,]
|
56 |
+
timestep_sampling = "sigmoid"
|
57 |
+
train_batch_size = 1
|
58 |
+
train_data_dir = "/workspace/kohya_ss/img"
|
59 |
+
unet_lr = 5e-5
|
60 |
+
vae_batch_size = 4
|
61 |
+
wandb_run_name = "Bevzyuk_2"
|
config_lora-20241021-064510.toml
ADDED
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
ae = "/workspace/ae.safetensors"
|
2 |
+
bucket_no_upscale = true
|
3 |
+
bucket_reso_steps = 64
|
4 |
+
cache_latents = true
|
5 |
+
cache_latents_to_disk = true
|
6 |
+
cache_text_encoder_outputs = true
|
7 |
+
cache_text_encoder_outputs_to_disk = true
|
8 |
+
caption_extension = ".txt"
|
9 |
+
clip_l = "/workspace/clip_l.safetensors"
|
10 |
+
discrete_flow_shift = 3.1582
|
11 |
+
dynamo_backend = "no"
|
12 |
+
epoch = 50
|
13 |
+
full_bf16 = true
|
14 |
+
gradient_accumulation_steps = 1
|
15 |
+
gradient_checkpointing = true
|
16 |
+
guidance_scale = 1.0
|
17 |
+
highvram = true
|
18 |
+
huber_c = 0.1
|
19 |
+
huber_schedule = "snr"
|
20 |
+
loss_type = "l2"
|
21 |
+
lr_scheduler = "constant"
|
22 |
+
lr_scheduler_args = []
|
23 |
+
lr_scheduler_num_cycles = 1
|
24 |
+
lr_scheduler_power = 1
|
25 |
+
max_bucket_reso = 2048
|
26 |
+
max_data_loader_n_workers = 0
|
27 |
+
max_timestep = 1000
|
28 |
+
max_train_steps = 1400
|
29 |
+
mem_eff_save = true
|
30 |
+
min_bucket_reso = 256
|
31 |
+
mixed_precision = "bf16"
|
32 |
+
model_prediction_type = "raw"
|
33 |
+
network_alpha = 128
|
34 |
+
network_args = [ "train_double_block_indices=all", "train_single_block_indices=all",]
|
35 |
+
network_dim = 128
|
36 |
+
network_module = "networks.lora_flux"
|
37 |
+
noise_offset_type = "Original"
|
38 |
+
optimizer_args = [ "scale_parameter=False", "relative_step=False", "warmup_init=False", "weight_decay=0.01",]
|
39 |
+
optimizer_type = "Adafactor"
|
40 |
+
output_dir = "/workspace/kohya_ss/models"
|
41 |
+
output_name = "BevzyukN_1"
|
42 |
+
pretrained_model_name_or_path = "/workspace/flux1-dev.safetensors"
|
43 |
+
prior_loss_weight = 1
|
44 |
+
resolution = "1024,1024"
|
45 |
+
sample_prompts = "/workspace/kohya_ss/models/sample/prompt.txt"
|
46 |
+
sample_sampler = "euler_a"
|
47 |
+
save_every_n_epochs = 25
|
48 |
+
save_model_as = "safetensors"
|
49 |
+
save_precision = "float"
|
50 |
+
sdpa = true
|
51 |
+
seed = 1
|
52 |
+
t5xxl = "/workspace/t5xxl_fp16.safetensors"
|
53 |
+
t5xxl_max_token_length = 512
|
54 |
+
text_encoder_lr = [ 0.0001, 0.0001,]
|
55 |
+
timestep_sampling = "sigmoid"
|
56 |
+
train_batch_size = 1
|
57 |
+
train_data_dir = "/workspace/kohya_ss/img"
|
58 |
+
unet_lr = 0.0001
|
59 |
+
vae_batch_size = 4
|
60 |
+
wandb_run_name = "BevzyukN_1"
|
sample/prompt.txt
ADDED
File without changes
|