
Created by Astroboy, originally uploaded to HuggingFace
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 "an illustration of an isometric city, digital art, highly detailed" 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
描述:
训练词语: an illustration of an isometric city, digital art, highly detailed
名称: isometricCities_v1.ckpt
大小 (KB): 2082919
类型: Model
Pickle 扫描结果: Danger
Pickle 扫描信息: **Detected Pickle imports (9)**
*Dangerous import detected*
```
*pytorch_lightning.callbacks.model_checkpoint.ModelCheckpoint*
numpy.dtype
torch._utils._rebuild_tensor_v2
pytorch_lightning.callbacks.model_checkpoint.ModelCheckpoint
torch.FloatStorage
numpy.core.multiarray.scalar
_codecs.encode
torch.HalfStorage
collections.OrderedDict
```
病毒扫描结果: Success
