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- TRIGGER/auto_save_studio_trigger.toml +81 -0
- TRIGGER/studio_trigger-000002.safetensors +3 -0
- TRIGGER/studio_trigger.safetensors +3 -0
- butterchalk/auto_save_butterchalk1.toml +81 -0
- butterchalk/auto_save_butterchalktest1sd15.toml +81 -0
- butterchalk/butterchalk1-000001.safetensors +3 -0
- butterchalk/butterchalk1-000002.safetensors +3 -0
- butterchalk/butterchalk1-000003.safetensors +3 -0
- butterchalk/butterchalk1-000004.safetensors +3 -0
- butterchalk/butterchalk1-000005.safetensors +3 -0
- butterchalk/butterchalk1-000006.safetensors +3 -0
- butterchalk/butterchalk1-000007.safetensors +3 -0
- butterchalk/butterchalk1-000008.safetensors +3 -0
- butterchalk/butterchalk1-000009.safetensors +3 -0
- butterchalk/butterchalk1.safetensors +3 -0
- concept/concept-double_v-v1.safetensors +3 -0
- crumblessd15/auto_save_crumbles.toml +81 -0
- crumblessd15/auto_save_crumbles3000.toml +80 -0
- crumblessd15/crumbles-000001.safetensors +3 -0
- crumblessd15/crumbles-000002.safetensors +3 -0
- crumblessd15/crumbles-000003.safetensors +3 -0
- crumblessd15/crumbles-000004.safetensors +3 -0
- crumblessd15/crumbles-000005.safetensors +3 -0
- crumblessd15/crumbles-000006.safetensors +3 -0
- crumblessd15/crumbles-000007.safetensors +3 -0
- crumblessd15/crumbles-000008.safetensors +3 -0
- crumblessd15/crumbles-000009.safetensors +3 -0
- crumblessd15/crumbles.safetensors +3 -0
- crumblessd15/crumbles3000.safetensors +3 -0
- cura/auto_save_cura.toml +85 -0
- cura/cura-000001.safetensors +3 -0
- cura/cura-000002.safetensors +3 -0
- cura/cura-000003.safetensors +3 -0
- cura/cura-000004.safetensors +3 -0
- cura/cura-000005.safetensors +3 -0
- cura/cura-000006.safetensors +3 -0
- cura/cura-000007.safetensors +3 -0
- cura/cura-000008.safetensors +3 -0
- cura/cura-000009.safetensors +3 -0
- cura/cura-000010.safetensors +3 -0
- cura/cura-000011.safetensors +3 -0
- cura/cura-000012.safetensors +3 -0
- cura/cura-000013.safetensors +3 -0
- cura/cura-000014.safetensors +3 -0
- cura/cura-000015.safetensors +3 -0
- cura/cura-000016.safetensors +3 -0
- cura/cura-000017.safetensors +3 -0
- cura/cura-000018.safetensors +3 -0
- cura/cura-000019.safetensors +3 -0
- cura/cura-000020.safetensors +3 -0
TRIGGER/auto_save_studio_trigger.toml
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[[subsets]]
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num_repeats = 2
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caption_extension = ".txt"
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shuffle_caption = true
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flip_aug = false
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is_reg = false
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image_dir = "E:/Everything artificial intelligence/loradataset\\2_ohwx trigger"
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keep_tokens = 0
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[sample_args]
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[logging_args]
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[general_args.args]
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pretrained_model_name_or_path = "E:/Everything artificial intelligence/stable-diffusion-webui/models/Stable-diffusion/animefull-final-pruned-fp16.safetensors"
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mixed_precision = "fp16"
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seed = 23
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max_data_loader_n_workers = 1
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persistent_data_loader_workers = true
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max_token_length = 225
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prior_loss_weight = 1.0
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clip_skip = 2
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xformers = true
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cache_latents = true
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max_train_steps = 3500
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vae = "E:/Everything artificial intelligence/stable-diffusion-webui/models/VAE/klF8Anime2VAE_klF8Anime2VAE.safetensors"
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[general_args.dataset_args]
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resolution = 768
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batch_size = 2
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[network_args.args]
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network_dim = 16
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network_alpha = 8.0
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ip_noise_gamma = 0.1
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min_timestep = 0
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max_timestep = 1000
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network_dropout = 0.3
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[optimizer_args.args]
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optimizer_type = "AdamW8bit"
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lr_scheduler = "cosine"
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learning_rate = 0.001
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max_grad_norm = 1.0
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lr_scheduler_type = "LoraEasyCustomOptimizer.CustomOptimizers.CosineAnnealingWarmupRestarts"
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lr_scheduler_num_cycles = 2
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text_encoder_lr = 1e-6
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warmup_ratio = 0.15
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min_snr_gamma = 8
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scale_weight_norms = 5.0
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[saving_args.args]
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output_dir = "E:/Everything artificial intelligence/stable-diffusion-webui/models/Lora/TRIGGER"
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save_precision = "fp16"
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save_model_as = "safetensors"
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save_toml = true
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save_toml_location = "E:/Everything artificial intelligence/stable-diffusion-webui/models/Lora/TRIGGER"
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save_every_n_epochs = 2
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output_name = "studio_trigger"
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[bucket_args.dataset_args]
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enable_bucket = true
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min_bucket_reso = 512
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max_bucket_reso = 2048
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bucket_reso_steps = 64
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+
bucket_no_upscale = true
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[noise_args.args]
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noise_offset = 0.0357
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[network_args.args.network_args]
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conv_dim = 24
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conv_alpha = 12.0
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[optimizer_args.args.lr_scheduler_args]
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min_lr = 1e-6
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gamma = 0.85
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+
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[optimizer_args.args.optimizer_args]
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weight_decay = "0.05"
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betas = "0.9,0.99"
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TRIGGER/studio_trigger-000002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7c880fc6aeedd635ceb2019498cc241a8f0b019d64a4a896024ae095253a8f8a
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size 47818220
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TRIGGER/studio_trigger.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:cc6f934b40a907f0486da3fd67b2850d20206795519ff5af2d8975ee79b17281
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size 47818220
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butterchalk/auto_save_butterchalk1.toml
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[[subsets]]
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num_repeats = 5
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caption_extension = ".txt"
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shuffle_caption = false
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flip_aug = false
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is_reg = false
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image_dir = "E:/Everything artificial intelligence/loradataset\\5_ohwx butterchalk"
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keep_tokens = 0
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[sample_args]
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[logging_args]
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[general_args.args]
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pretrained_model_name_or_path = "E:/Everything artificial intelligence/stable-diffusion-webui/models/Stable-diffusion/animefull-final-pruned-fp16.safetensors"
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mixed_precision = "fp16"
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seed = 23
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max_data_loader_n_workers = 1
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persistent_data_loader_workers = true
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max_token_length = 225
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prior_loss_weight = 1.0
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clip_skip = 2
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xformers = true
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24 |
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cache_latents = true
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25 |
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max_train_epochs = 10
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vae = "E:/Everything artificial intelligence/stable-diffusion-webui/models/VAE/klF8Anime2VAE_klF8Anime2VAE.safetensors"
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27 |
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28 |
+
[general_args.dataset_args]
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resolution = 768
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batch_size = 2
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32 |
+
[network_args.args]
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33 |
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network_dim = 16
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network_alpha = 8.0
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35 |
+
ip_noise_gamma = 0.1
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36 |
+
min_timestep = 0
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37 |
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max_timestep = 1000
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38 |
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network_dropout = 0.3
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39 |
+
|
40 |
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[optimizer_args.args]
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41 |
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optimizer_type = "AdamW8bit"
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42 |
+
lr_scheduler = "cosine"
|
43 |
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learning_rate = 0.001
|
44 |
+
max_grad_norm = 1.0
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45 |
+
lr_scheduler_type = "LoraEasyCustomOptimizer.CustomOptimizers.CosineAnnealingWarmupRestarts"
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46 |
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lr_scheduler_num_cycles = 2
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47 |
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text_encoder_lr = 1e-6
|
48 |
+
warmup_ratio = 0.15
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49 |
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min_snr_gamma = 8
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50 |
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scale_weight_norms = 5.0
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51 |
+
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52 |
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[saving_args.args]
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53 |
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output_dir = "E:/Everything artificial intelligence/stable-diffusion-webui/models/Lora/butterchalk"
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54 |
+
save_precision = "fp16"
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55 |
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save_model_as = "safetensors"
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56 |
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output_name = "kikentest1"
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57 |
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save_every_n_epochs = 1
|
58 |
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save_toml = true
|
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save_toml_location = "E:/Everything artificial intelligence/stable-diffusion-webui/models/Lora/butterchalk"
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60 |
+
|
61 |
+
[bucket_args.dataset_args]
|
62 |
+
enable_bucket = true
|
63 |
+
min_bucket_reso = 512
|
64 |
+
max_bucket_reso = 2048
|
65 |
+
bucket_reso_steps = 64
|
66 |
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bucket_no_upscale = true
|
67 |
+
|
68 |
+
[noise_args.args]
|
69 |
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noise_offset = 0.0357
|
70 |
+
|
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[network_args.args.network_args]
|
72 |
+
conv_dim = 24
|
73 |
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conv_alpha = 12.0
|
74 |
+
|
75 |
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[optimizer_args.args.lr_scheduler_args]
|
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min_lr = 1e-6
|
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gamma = 0.85
|
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+
|
79 |
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[optimizer_args.args.optimizer_args]
|
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weight_decay = "0.05"
|
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betas = "0.9,0.99"
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butterchalk/auto_save_butterchalktest1sd15.toml
ADDED
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[[subsets]]
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num_repeats = 5
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caption_extension = ".txt"
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+
shuffle_caption = false
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5 |
+
flip_aug = false
|
6 |
+
is_reg = false
|
7 |
+
image_dir = "E:/Everything artificial intelligence/loradataset\\5_ohwx butterchalk"
|
8 |
+
keep_tokens = 0
|
9 |
+
|
10 |
+
[sample_args]
|
11 |
+
|
12 |
+
[logging_args]
|
13 |
+
|
14 |
+
[general_args.args]
|
15 |
+
pretrained_model_name_or_path = "E:/Everything artificial intelligence/stable-diffusion-webui/models/Stable-diffusion/animefull-final-pruned-fp16.safetensors"
|
16 |
+
mixed_precision = "fp16"
|
17 |
+
seed = 23
|
18 |
+
max_data_loader_n_workers = 1
|
19 |
+
persistent_data_loader_workers = true
|
20 |
+
max_token_length = 225
|
21 |
+
prior_loss_weight = 1.0
|
22 |
+
clip_skip = 2
|
23 |
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xformers = true
|
24 |
+
cache_latents = true
|
25 |
+
max_train_epochs = 10
|
26 |
+
vae = "E:/Everything artificial intelligence/stable-diffusion-webui/models/VAE/klF8Anime2VAE_klF8Anime2VAE.safetensors"
|
27 |
+
|
28 |
+
[general_args.dataset_args]
|
29 |
+
resolution = 768
|
30 |
+
batch_size = 2
|
31 |
+
|
32 |
+
[network_args.args]
|
33 |
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network_dim = 16
|
34 |
+
network_alpha = 8.0
|
35 |
+
ip_noise_gamma = 0.1
|
36 |
+
min_timestep = 0
|
37 |
+
max_timestep = 1000
|
38 |
+
network_dropout = 0.3
|
39 |
+
|
40 |
+
[optimizer_args.args]
|
41 |
+
optimizer_type = "AdamW8bit"
|
42 |
+
lr_scheduler = "cosine"
|
43 |
+
learning_rate = 0.001
|
44 |
+
max_grad_norm = 1.0
|
45 |
+
lr_scheduler_type = "LoraEasyCustomOptimizer.CustomOptimizers.CosineAnnealingWarmupRestarts"
|
46 |
+
lr_scheduler_num_cycles = 2
|
47 |
+
text_encoder_lr = 1e-6
|
48 |
+
warmup_ratio = 0.15
|
49 |
+
min_snr_gamma = 8
|
50 |
+
scale_weight_norms = 5.0
|
51 |
+
|
52 |
+
[saving_args.args]
|
53 |
+
output_dir = "E:/Everything artificial intelligence/stable-diffusion-webui/models/Lora/butterchalk"
|
54 |
+
save_precision = "fp16"
|
55 |
+
save_model_as = "safetensors"
|
56 |
+
output_name = "butterchalktest1sd15"
|
57 |
+
save_every_n_epochs = 1
|
58 |
+
save_toml = true
|
59 |
+
save_toml_location = "E:/Everything artificial intelligence/stable-diffusion-webui/models/Lora/butterchalk"
|
60 |
+
|
61 |
+
[bucket_args.dataset_args]
|
62 |
+
enable_bucket = true
|
63 |
+
min_bucket_reso = 512
|
64 |
+
max_bucket_reso = 2048
|
65 |
+
bucket_reso_steps = 64
|
66 |
+
bucket_no_upscale = true
|
67 |
+
|
68 |
+
[noise_args.args]
|
69 |
+
noise_offset = 0.0357
|
70 |
+
|
71 |
+
[network_args.args.network_args]
|
72 |
+
conv_dim = 24
|
73 |
+
conv_alpha = 12.0
|
74 |
+
|
75 |
+
[optimizer_args.args.lr_scheduler_args]
|
76 |
+
min_lr = 1e-6
|
77 |
+
gamma = 0.85
|
78 |
+
|
79 |
+
[optimizer_args.args.optimizer_args]
|
80 |
+
weight_decay = "0.05"
|
81 |
+
betas = "0.9,0.99"
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butterchalk/butterchalk1-000001.safetensors
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+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:b83720e0ec323974cba69dd730606a6d02bac1c2a62a88955fca3a89602ec502
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+
size 47793740
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butterchalk/butterchalk1-000002.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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crumblessd15/auto_save_crumbles.toml
ADDED
@@ -0,0 +1,81 @@
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1 |
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[[subsets]]
|
2 |
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num_repeats = 2
|
3 |
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caption_extension = ".txt"
|
4 |
+
shuffle_caption = false
|
5 |
+
flip_aug = false
|
6 |
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is_reg = false
|
7 |
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image_dir = "E:/Everything artificial intelligence/loradataset\\5_ohwx crumbles"
|
8 |
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keep_tokens = 0
|
9 |
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|
10 |
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[sample_args]
|
11 |
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|
12 |
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[logging_args]
|
13 |
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|
14 |
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[general_args.args]
|
15 |
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pretrained_model_name_or_path = "E:/Everything artificial intelligence/stable-diffusion-webui/models/Stable-diffusion/animefull-final-pruned-fp16.safetensors"
|
16 |
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mixed_precision = "fp16"
|
17 |
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seed = 23
|
18 |
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max_data_loader_n_workers = 1
|
19 |
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persistent_data_loader_workers = true
|
20 |
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max_token_length = 225
|
21 |
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prior_loss_weight = 1.0
|
22 |
+
clip_skip = 2
|
23 |
+
xformers = true
|
24 |
+
cache_latents = true
|
25 |
+
max_train_epochs = 10
|
26 |
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vae = "E:/Everything artificial intelligence/stable-diffusion-webui/models/VAE/klF8Anime2VAE_klF8Anime2VAE.safetensors"
|
27 |
+
|
28 |
+
[general_args.dataset_args]
|
29 |
+
resolution = 768
|
30 |
+
batch_size = 2
|
31 |
+
|
32 |
+
[network_args.args]
|
33 |
+
network_dim = 16
|
34 |
+
network_alpha = 8.0
|
35 |
+
ip_noise_gamma = 0.1
|
36 |
+
min_timestep = 0
|
37 |
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max_timestep = 1000
|
38 |
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network_dropout = 0.3
|
39 |
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|
40 |
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[optimizer_args.args]
|
41 |
+
optimizer_type = "AdamW8bit"
|
42 |
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lr_scheduler = "cosine"
|
43 |
+
learning_rate = 0.001
|
44 |
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max_grad_norm = 1.0
|
45 |
+
lr_scheduler_type = "LoraEasyCustomOptimizer.CustomOptimizers.CosineAnnealingWarmupRestarts"
|
46 |
+
lr_scheduler_num_cycles = 2
|
47 |
+
text_encoder_lr = 1e-6
|
48 |
+
warmup_ratio = 0.15
|
49 |
+
min_snr_gamma = 8
|
50 |
+
scale_weight_norms = 5.0
|
51 |
+
|
52 |
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[saving_args.args]
|
53 |
+
output_dir = "E:/Everything artificial intelligence/stable-diffusion-webui/models/Lora/crumblessd15"
|
54 |
+
save_precision = "fp16"
|
55 |
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save_model_as = "safetensors"
|
56 |
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output_name = "crumbles"
|
57 |
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save_every_n_epochs = 1
|
58 |
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save_toml = true
|
59 |
+
save_toml_location = "E:/Everything artificial intelligence/stable-diffusion-webui/models/Lora/crumblessd15"
|
60 |
+
|
61 |
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[bucket_args.dataset_args]
|
62 |
+
enable_bucket = true
|
63 |
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min_bucket_reso = 512
|
64 |
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max_bucket_reso = 2048
|
65 |
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bucket_reso_steps = 64
|
66 |
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bucket_no_upscale = true
|
67 |
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|
68 |
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[noise_args.args]
|
69 |
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noise_offset = 0.0357
|
70 |
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|
71 |
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[network_args.args.network_args]
|
72 |
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conv_dim = 24
|
73 |
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conv_alpha = 12.0
|
74 |
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|
75 |
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[optimizer_args.args.lr_scheduler_args]
|
76 |
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min_lr = 1e-6
|
77 |
+
gamma = 0.85
|
78 |
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|
79 |
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[optimizer_args.args.optimizer_args]
|
80 |
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weight_decay = "0.05"
|
81 |
+
betas = "0.9,0.99"
|
crumblessd15/auto_save_crumbles3000.toml
ADDED
@@ -0,0 +1,80 @@
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|
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|
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|
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|
8 |
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keep_tokens = 0
|
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|
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|
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mixed_precision = "fp16"
|
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|
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max_data_loader_n_workers = 1
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|
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max_token_length = 225
|
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prior_loss_weight = 1.0
|
22 |
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clip_skip = 2
|
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xformers = true
|
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cache_latents = true
|
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vae = "E:/Everything artificial intelligence/stable-diffusion-webui/models/VAE/klF8Anime2VAE_klF8Anime2VAE.safetensors"
|
26 |
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max_train_steps = 3000
|
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|
28 |
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[general_args.dataset_args]
|
29 |
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resolution = 768
|
30 |
+
batch_size = 2
|
31 |
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|
32 |
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[network_args.args]
|
33 |
+
network_dim = 16
|
34 |
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network_alpha = 8.0
|
35 |
+
ip_noise_gamma = 0.1
|
36 |
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min_timestep = 0
|
37 |
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max_timestep = 1000
|
38 |
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network_dropout = 0.3
|
39 |
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|
40 |
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[optimizer_args.args]
|
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optimizer_type = "AdamW8bit"
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42 |
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lr_scheduler = "cosine"
|
43 |
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learning_rate = 0.001
|
44 |
+
max_grad_norm = 1.0
|
45 |
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lr_scheduler_type = "LoraEasyCustomOptimizer.CustomOptimizers.CosineAnnealingWarmupRestarts"
|
46 |
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lr_scheduler_num_cycles = 2
|
47 |
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text_encoder_lr = 1e-6
|
48 |
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warmup_ratio = 0.15
|
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|
50 |
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scale_weight_norms = 5.0
|
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|
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|
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output_dir = "E:/Everything artificial intelligence/stable-diffusion-webui/models/Lora/crumblessd15"
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|
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save_toml_location = "E:/Everything artificial intelligence/stable-diffusion-webui/models/Lora/crumblessd15"
|
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|
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[bucket_args.dataset_args]
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|
62 |
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|
63 |
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|
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|
67 |
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[noise_args.args]
|
68 |
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noise_offset = 0.0357
|
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|
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[network_args.args.network_args]
|
71 |
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conv_dim = 24
|
72 |
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|
74 |
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|
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cura/auto_save_cura.toml
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|
|
1 |
+
[[subsets]]
|
2 |
+
num_repeats = 2
|
3 |
+
caption_extension = ".txt"
|
4 |
+
shuffle_caption = true
|
5 |
+
flip_aug = false
|
6 |
+
is_reg = false
|
7 |
+
image_dir = "E:/Everything artificial intelligence/loradataset\\2_ohwx cura"
|
8 |
+
keep_tokens = 0
|
9 |
+
|
10 |
+
[sample_args]
|
11 |
+
|
12 |
+
[general_args.args]
|
13 |
+
pretrained_model_name_or_path = "E:/Everything artificial intelligence/stable-diffusion-webui/models/Stable-diffusion/animefull-final-pruned-fp16.safetensors"
|
14 |
+
mixed_precision = "fp16"
|
15 |
+
seed = 69
|
16 |
+
max_data_loader_n_workers = 1
|
17 |
+
persistent_data_loader_workers = true
|
18 |
+
max_token_length = 225
|
19 |
+
prior_loss_weight = 1.0
|
20 |
+
full_bf16 = false
|
21 |
+
full_fp16 = true
|
22 |
+
clip_skip = 2
|
23 |
+
xformers = true
|
24 |
+
cache_latents = true
|
25 |
+
vae = ""
|
26 |
+
max_train_epochs = 30
|
27 |
+
|
28 |
+
[general_args.dataset_args]
|
29 |
+
resolution = 768
|
30 |
+
batch_size = 2
|
31 |
+
|
32 |
+
[network_args.args]
|
33 |
+
network_dim = 16
|
34 |
+
network_alpha = 8.0
|
35 |
+
ip_noise_gamma = 0.1
|
36 |
+
min_timestep = 0
|
37 |
+
max_timestep = 1000
|
38 |
+
network_dropout = 0.3
|
39 |
+
|
40 |
+
[optimizer_args.args]
|
41 |
+
optimizer_type = "AdamW8bit"
|
42 |
+
lr_scheduler = "cosine_with_restarts"
|
43 |
+
learning_rate = 0.001
|
44 |
+
max_grad_norm = 1.0
|
45 |
+
text_encoder_lr = 1e-6
|
46 |
+
warmup_ratio = 0.15
|
47 |
+
min_snr_gamma = 5
|
48 |
+
lr_scheduler_type = "LoraEasyCustomOptimizer.CustomOptimizers.CosineAnnealingWarmupRestarts"
|
49 |
+
lr_scheduler_num_cycles = 3
|
50 |
+
scale_weight_norms = 2.0
|
51 |
+
|
52 |
+
[saving_args.args]
|
53 |
+
output_dir = "E:/Everything artificial intelligence/stable-diffusion-webui/models/Lora/cura"
|
54 |
+
save_precision = "fp16"
|
55 |
+
save_model_as = "safetensors"
|
56 |
+
output_name = "cura"
|
57 |
+
save_toml = true
|
58 |
+
save_toml_location = "E:\\Everything artificial intelligence\\stable-diffusion-webui\\models\\Lora\\cura"
|
59 |
+
save_every_n_epochs = 1
|
60 |
+
|
61 |
+
[bucket_args.dataset_args]
|
62 |
+
enable_bucket = true
|
63 |
+
min_bucket_reso = 512
|
64 |
+
max_bucket_reso = 2048
|
65 |
+
bucket_reso_steps = 64
|
66 |
+
bucket_no_upscale = true
|
67 |
+
|
68 |
+
[noise_args.args]
|
69 |
+
noise_offset = 0.0357
|
70 |
+
|
71 |
+
[logging_args.args]
|
72 |
+
logging_dir = "E:/Everything artificial intelligence/stable-diffusion-webui/models/Lora/cura/logging"
|
73 |
+
log_with = "tensorboard"
|
74 |
+
|
75 |
+
[network_args.args.network_args]
|
76 |
+
conv_dim = 24
|
77 |
+
conv_alpha = 12.0
|
78 |
+
|
79 |
+
[optimizer_args.args.lr_scheduler_args]
|
80 |
+
min_lr = 1e-6
|
81 |
+
gamma = 0.7
|
82 |
+
|
83 |
+
[optimizer_args.args.optimizer_args]
|
84 |
+
weight_decay = "0.05"
|
85 |
+
betas = "0.9,0.99"
|
cura/cura-000001.safetensors
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