[LoRA] Shibuya Kanon (Love Live! Superstar!!)

更新 v2

此新版本基于与之前相同的训练数据集进行训练，包含151张动漫截屏。

不同之处在于，它是在我的自定义检查点基础上微调的，使用了 0.7*Meina_Hentai + 0.3*AnyLoRA 的组合。推理可在任何模型上运行，但使用 Meina_Hentai 可能会获得最佳效果（尽管名称中有“Hentai”，但它实际上是一个表现良好的非成人向模型，不要被名字误导）。

该模型使用以下参数训练，并进行了 重复8次：

[additional_network_arguments]
unet_lr = 0.00025
text_encoder_lr = 0.0001
network_dim = 32
network_alpha = 16
network_module = "networks.lora"

[optimizer_arguments]
learning_rate = 0.00025
lr_scheduler = "cosine_with_restarts"
lr_scheduler_num_cycles = 3
lr_warmup_steps = 422
optimizer_type = "AdamW8bit"

[training_arguments]
max_train_epochs = 14
save_every_n_epochs = 2
save_last_n_epochs = 10
train_batch_size = 2
clip_skip = 2
min_snr_gamma = 5.0
weighted_captions = false
seed = 42
max_token_length = 225
xformers = true
lowram = true
max_data_loader_n_workers = 8
persistent_data_loader_workers = true
save_precision = "fp16"
mixed_precision = "fp16"
output_dir = "/content/drive/MyDrive/lora_training/output/shibukano"
logging_dir = "/content/drive/MyDrive/lora_training/log"
output_name = "shibukano"
log_prefix = "shibukano"
save_state = false

[model_arguments]
pretrained_model_name_or_path = "/content/ashleymix-v2.safetensors"
v2 = false

[saving_arguments]
save_model_as = "safetensors"

[dreambooth_arguments]
prior_loss_weight = 1.0

[dataset_arguments]
cache_latents = true

最终检查点通过平均第12个和第8个epoch的检查点生成：0.8*epoch_12 + 0.2*epoch_8。