You can use this lora with the simple term : "tower" or "eiffel_tower"





The Eiffel Tower is a wrought-iron lattice tower on the Champ de Mars in Paris, France. It is named after the engineer Gustave Eiffel, whose company designed and built the tower from 1887 to 1889.
A strength of [0.6...0.8] is pretty good for a reliable background while leaving room for imagination
If you want something more accurate, you can do [0.8...1] with no problem, but it will be more difficult to incorporate things.
{
"ss_output_name": "EFFEIL_TOWER_V1_PDXL",
"ss_sd_model_name": "ponyDiffusionV6XL_v6StartWithThisOne.safetensors",
"ss_network_module": "lycoris.kohya",
"ss_total_batch_size": 6,
"ss_resolution": "(1024, 1024)",
"ss_optimizer": "prodigyopt.prodigy.Prodigy",
"ss_lr_scheduler": "cosine_with_restarts",
"ss_clip_skip": 2,
"ss_network_dim": 32,
"ss_network_alpha": 16,
"ss_epoch": 7,
"ss_num_epochs": 8,
"ss_steps": 511,
"ss_max_train_steps": 520,
"ss_learning_rate": 1,
"ss_text_encoder_lr": 1,
"ss_unet_lr": 1,
"ss_shuffle_caption": "False",
"ss_keep_tokens": 0,
"ss_flip_aug": "False",
"ss_noise_offset": "None",
"ss_adaptive_noise_scale": "None",
"ss_min_snr_gamma": 5,
"ss_training_started_at": "2024-07-27T16:10:57.317Z",
"ss_training_finished_at": "2024-07-27T16:58:24.705Z",
"training_time": "0h 47m 27s",
"sshs_model_hash": "61504b3fc6c5d6034674ea5991306f1368a24a9d6aa4dca843041239291b45cb"
}
You can use this lora with the simple term : "tower" or "eiffel_tower"
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