Update README.md

README.md

@@ -2,59 +2,59 @@
     Model is also on CivitAI: https://civitai.com/models/87254?modelVersionId=258514
 ## Model Details
 ### Version 1 parameters:
-  steps_per_image: 50
-  total_images: 49
-  total_steps: ~2400
-  training_model: Anything_V3
-  network_dim: 128
-  network_alpha: 128
-  network_train_on: both
-  learning_rate: 1e-4
-  unet_lr: 0
-  text_encoder _lr: 5e-5
-  lr_scheduler: constant
-  lr_scheduler_num_cycles: 1
-  lr_scheduler_power: 1
-  train_batch_size: 6
-  num_epochs: 6
-  mixed_precision: fp16
-  save_precision fp16
-  save_n_epochs_type: save_every_n_epochs
-  save_n_epochs_type_value: 1
-  resolution: 512
-  max_token_length: 225
-  clip_skip: 2
-  additional_argument: --shuffle_caption --xformers
-  training_hardware: Google Colab Free Tier: Nvidia Tesla T4 GPU
-  training_time: ~45 minutes
+    steps_per_image: 50
+    total_images: 49
+    total_steps: ~2400
+    training_model: Anything_V3
+    network_dim: 128
+    network_alpha: 128
+    network_train_on: both
+    learning_rate: 1e-4
+    unet_lr: 0
+    text_encoder _lr: 5e-5
+    lr_scheduler: constant
+    lr_scheduler_num_cycles: 1
+    lr_scheduler_power: 1
+    train_batch_size: 6
+    num_epochs: 6
+    mixed_precision: fp16
+    save_precision fp16
+    save_n_epochs_type: save_every_n_epochs
+    save_n_epochs_type_value: 1
+    resolution: 512
+    max_token_length: 225
+    clip_skip: 2
+    additional_argument: --shuffle_caption --xformers
+    training_hardware: Google Colab Free Tier: Nvidia Tesla T4 GPU
+    training_time: ~45 minutes
 
 ### Version 1.1 parameters:
-  steps_per_image: 20
-  total_images: 122 (61 unique images, doubled amount by mirroring them)
-  total_steps: 2440
-  training_model: Any_LoRA
-  optimizer: AdamW
-  network_dim: 128
-  network_alpha: 128
-  network_train_on: both
-  learning_rate: 1e-4
-  unet_lr: 1e-4
-  text_encoder _lr: 5e-5
-  lr_scheduler: constant
-  lr_scheduler_num_cycles: 1
-  lr_scheduler_power: 1
-  train_batch_size: 8
-  num_epochs: 6
-  mixed_precision: bf16
-  save_precision bf16
-  save_n_epochs_type: save_every_n_epochs
-  save_n_epochs_type_value: 1
-  resolution: 768
-  max_token_length: 225
-  clip_skip: 2
-  additional_argument: --xformers
-  training_hardware: RTX 3090
-  training_time: ~1.5 hours (I don't remember exactly)
+    steps_per_image: 20
+    total_images: 122 (61 unique images, doubled amount by mirroring them)
+    total_steps: 2440
+    training_model: Any_LoRA
+    optimizer: AdamW
+    network_dim: 128
+    network_alpha: 128
+    network_train_on: both
+    learning_rate: 1e-4
+    unet_lr: 1e-4
+    text_encoder _lr: 5e-5
+    lr_scheduler: constant
+    lr_scheduler_num_cycles: 1
+    lr_scheduler_power: 1
+    train_batch_size: 8
+    num_epochs: 6
+    mixed_precision: bf16
+    save_precision bf16
+    save_n_epochs_type: save_every_n_epochs
+    save_n_epochs_type_value: 1
+    resolution: 768
+    max_token_length: 225
+    clip_skip: 2
+    additional_argument: --xformers
+    training_hardware: RTX 3090
+    training_time: ~1.5 hours (I don't remember exactly)
 #### Version 1.1 Improvements:
   -**Better style consistency**: The model generates in a style closer to the Rhythm Heaven series much more consistently.
   1.0 generated a bit more of a detailed style though so if that's what you want you should use that one.