| adam_beta1: 0.9 | |
| adam_beta2: 0.999 | |
| adam_epsilon: 1.0e-08 | |
| adam_weight_decay: 0.0001 | |
| adam_weight_decay_text_encoder: 0.001 | |
| allow_tf32: false | |
| cache_dir: null | |
| caption_column: null | |
| center_crop: false | |
| checkpointing_steps: 500 | |
| checkpoints_total_limit: null | |
| class_data_dir: null | |
| class_prompt: null | |
| dataloader_num_workers: 0 | |
| dataset_config_name: null | |
| dataset_name: null | |
| gradient_accumulation_steps: 4 | |
| gradient_checkpointing: true | |
| hub_model_id: null | |
| hub_token: null | |
| image_column: image | |
| instance_data_dir: dog | |
| instance_prompt: a photo of sks dog | |
| learning_rate: 1.0e-05 | |
| local_rank: -1 | |
| logging_dir: logs | |
| logit_mean: 0.0 | |
| logit_std: 1.0 | |
| lr_num_cycles: 1 | |
| lr_power: 1.0 | |
| lr_scheduler: constant | |
| lr_warmup_steps: 0 | |
| max_grad_norm: 1.0 | |
| max_train_steps: 500 | |
| mixed_precision: fp16 | |
| mode_scale: 1.29 | |
| num_class_images: 100 | |
| num_train_epochs: 250 | |
| num_validation_images: 4 | |
| optimizer: AdamW | |
| output_dir: trained-sd3-lora | |
| pretrained_model_name_or_path: stabilityai/stable-diffusion-3-medium-diffusers | |
| prior_generation_precision: null | |
| prior_loss_weight: 1.0 | |
| prodigy_beta3: null | |
| prodigy_decouple: true | |
| prodigy_safeguard_warmup: true | |
| prodigy_use_bias_correction: true | |
| push_to_hub: true | |
| random_flip: false | |
| rank: 4 | |
| repeats: 1 | |
| report_to: tensorboard | |
| resolution: 512 | |
| resume_from_checkpoint: null | |
| revision: null | |
| sample_batch_size: 4 | |
| scale_lr: false | |
| seed: 0 | |
| text_encoder_lr: 5.0e-06 | |
| train_batch_size: 1 | |
| use_8bit_adam: false | |
| validation_epochs: 25 | |
| validation_prompt: A photo of sks dog in a bucket | |
| variant: null | |
| weighting_scheme: sigma_sqrt | |
| with_prior_preservation: false | |