| license: creativeml-openrail-m | |
| tags: | |
| - text-to-image | |
| ## Model description | |
| <b>isoCities</b> v1 | |
| This model trained based on Stable Diffusion 1.5 model to create isometric cities, venues, etc more precisely. | |
| Trained isometric city model merged with SD 1.5 with Automatic1111's checkpoint merger tool (Couldn't remember exactly the merging ratio and the interpolation method) | |
| Use "<b>an illustration of an isometric city, digital art, highly detailed</b>" in your prompts. | |
| ## 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 | |
| ### Training results | |
| Sample images | |
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