<a target="_blank" rel="ugc" href="https://ko-fi.com/citronlegacy">Help fuel my passion! Even $1 makes a difference. ☕ https://ko-fi.com/citronlegacy</a>Are there any cool buildings or structures from games you want to see?I'm building my Building Lora skills so I'd appreciate ideas of cool video game structures!<hr />"In a hole in the ground, there lived a Hobbit. Not a nasty, dirty, wet hole... it was a hobbit-hole, and that means comfort."I love this music. It feels like hope and comfort. <div data-youtube-video><iframe width="640" height="480" allowfullscreen="true" autoplay="false" disablekbcontrols="false" enableiframeapi="false" endtime="0" ivloadpolicy="0" loop="false" modestbranding="false" origin playlist src="https://www.youtube.com/embed/SRgBI0WqWp4" start="0"></iframe></div><hr />Trained on: 33 imagesTraining Model: Animefull-final-pruned-fp16flip_aug: FalseNum of Repeats: 10Unit is Epochs or Steps: EpochsNumber of Epochs or Steps: 10Training Batch Size: 2Total Steps: 1650Resolution: 512Network Dim: Dim 32 and Alpha 16Lora Creation Process took: 00:18:27

Hobbit Hole (Shire in Eriador, Middle Earth) (Lord of the Rings)

Trained on: 33 imagesSteps: 330Total Time: 49:19--[network_arguments]unet_lr = 0.75text_encoder_lr = 0.75network_dim = 32network_alpha = 32network_module = "networks.lora"network_train_unet_only = false[optimizer_arguments]learning_rate = 0.75lr_scheduler = "cosine_with_restarts"lr_scheduler_num_cycles = 3lr_warmup_steps = 16optimizer_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 = 10train_batch_size = 4seed = 42max_token_length = 225xformers = falsesdpa = truemin_snr_gamma = 8.0lowram = trueno_half_vae = truegradient_checkpointing = truegradient_accumulation_steps = 1max_data_loader_n_workers = 8persistent_data_loader_workers = truemixed_precision = "fp16"full_bf16 = falsecache_latents = truecache_latents_to_disk = truecache_text_encoder_outputs = falsemin_timestep = 0max_timestep = 1000prior_loss_weight = 1.0[saving_arguments]save_precision = "fp16"save_model_as = "safetensors"save_every_n_epochs = 1save_last_n_epochs = 10output_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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