Model description
This model trained based on Stable Diffusion 1.5 model to create isometric cities, venues, etc more precisely.
Intended uses & limitations
Do not use for commercial purposes.
Training procedure
Trained on a WSL2 Ubuntu machine with DreamBooth.
Training hyperparameters
The following hyperparameters were used during training:
--with_prior_preservation --prior_loss_weight=1.0
--instance_prompt="an illustration of an isometric city, digital art, highly detailed"
--class_prompt="isometric city"
--resolution=512
--train_batch_size=1
--mixed_precision="fp16"
--gradient_accumulation_steps=1 --gradient_checkpointing
--use_8bit_adam
--learning_rate=5e-6
--lr_scheduler="constant"
--lr_warmup_steps=0
--num_class_images=50
--max_train_steps=1500