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+ "sdxl_no_half_vae": false,
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+ "train_double_block_indices": "all",
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+ "train_single_block_indices": "all",
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+ "train_t5xxl": false,
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+ "training_comment": "",
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+ "unet_lr": 5e-05,
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+ "unit": 1,
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+ "use_cp": false,
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+ "vae_batch_size": 4,
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+ "wandb_api_key": "",
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+ "wandb_run_name": "",
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+ "weighted_captions": false,
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+ "xformers": "sdpa"
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+ }
config_lora-20241021-063928.toml ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ae = "/workspace/ae.safetensors"
2
+ apply_t5_attn_mask = true
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+ bucket_no_upscale = true
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+ bucket_reso_steps = 64
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+ cache_latents = true
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+ 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
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+ dynamo_backend = "no"
13
+ epoch = 200
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+ full_bf16 = true
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+ gradient_accumulation_steps = 1
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+ gradient_checkpointing = true
17
+ guidance_scale = 1.0
18
+ highvram = true
19
+ huber_c = 0.1
20
+ huber_schedule = "snr"
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+ loss_type = "l2"
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+ lr_scheduler = "constant"
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+ lr_scheduler_args = []
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+ lr_scheduler_num_cycles = 1
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+ lr_scheduler_power = 1
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+ max_bucket_reso = 2048
27
+ max_data_loader_n_workers = 0
28
+ max_timestep = 1000
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+ max_train_steps = 5600
30
+ mem_eff_save = true
31
+ min_bucket_reso = 256
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+ 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
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+ 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
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+ 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
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+ 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
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+ 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
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+ bucket_no_upscale = true
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+ bucket_reso_steps = 64
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+ cache_latents = true
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+ cache_latents_to_disk = true
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+ cache_text_encoder_outputs = true
8
+ cache_text_encoder_outputs_to_disk = true
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+ caption_extension = ".txt"
10
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11
+ discrete_flow_shift = 3.1582
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+ dynamo_backend = "no"
13
+ epoch = 200
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+ full_bf16 = true
15
+ gradient_accumulation_steps = 1
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+ gradient_checkpointing = true
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+ 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
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+ lr_scheduler_power = 1
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+ max_bucket_reso = 2048
27
+ max_data_loader_n_workers = 0
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+ max_timestep = 1000
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+ 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"
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+ 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
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+ cache_latents = true
5
+ cache_latents_to_disk = true
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+ 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
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+ dynamo_backend = "no"
12
+ epoch = 50
13
+ full_bf16 = true
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+ gradient_accumulation_steps = 1
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+ 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
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+ lr_scheduler_power = 1
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+ max_bucket_reso = 2048
26
+ max_data_loader_n_workers = 0
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+ max_timestep = 1000
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+ max_train_steps = 1400
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+ 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
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+ 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