Easily Create eye-catching images for Hobbit Hole (Shire in Eriador, Middle Earth) (Lord of the Rings)
Just dream up what you want and we optimize to get great images at scale. Hobbit Hole (Shire in Eriador, Middle Earth) (Lord of the Rings) is perfect for house, buildings, lord of the rings, hobbit, building, the lord of the rings, and the shire images
Trained on: 33 images
Steps: 330
Total Time: 49:19
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[network_arguments]
unet_lr = 0.75
text_encoder_lr = 0.75
network_dim = 32
network_alpha = 32
network_module = "networks.lora"
network_train_unet_only = false
[optimizer_arguments]
learning_rate = 0.75
lr_scheduler = "cosine_with_restarts"
lr_scheduler_num_cycles = 3
lr_warmup_steps = 16
optimizer_type = "Prodigy"
optimizer_args = [ "weight_decay=0.1", "betas=[0.9,0.99]",]
[training_arguments]
pretrained_model_name_or_path = "stabilityai/stable-diffusion-xl-base-1.0"
vae = "stabilityai/sdxl-vae"
max_train_epochs = 10
train_batch_size = 4
seed = 42
max_token_length = 225
xformers = false
sdpa = true
min_snr_gamma = 8.0
lowram = true
no_half_vae = true
gradient_checkpointing = true
gradient_accumulation_steps = 1
max_data_loader_n_workers = 8
persistent_data_loader_workers = true
mixed_precision = "fp16"
full_bf16 = false
cache_latents = true
cache_latents_to_disk = true
cache_text_encoder_outputs = false
min_timestep = 0
max_timestep = 1000
prior_loss_weight = 1.0
[saving_arguments]
save_precision = "fp16"
save_model_as = "safetensors"
save_every_n_epochs = 1
save_last_n_epochs = 10
output_name = "Hobbit_Hole_SDXL"
output_dir = "/content/drive/MyDrive/lora_training/output/Hobbit_Hole_SDXL"
log_prefix = "Hobbit_Hole_SDXL"
logging_dir = "/content/drive/MyDrive/lora_training/log"
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Check out other related models: house, buildings, lord of the rings, hobbit, building, the lord of the rings, the shire
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