| adam_beta1: 0.9 | |
| adam_beta2: 0.999 | |
| adam_epsilon: 1.0e-08 | |
| adam_weight_decay: 0.01 | |
| allow_tf32: false | |
| center_crop: false | |
| checkpointing_steps: 500 | |
| checkpoints_total_limit: null | |
| class_data_dir: ./dog_class_dir | |
| class_labels_conditioning: null | |
| class_prompt: a photo of dog | |
| dataloader_num_workers: 0 | |
| enable_xformers_memory_efficient_attention: false | |
| gradient_accumulation_steps: 1 | |
| gradient_checkpointing: false | |
| hub_model_id: null | |
| hub_token: null | |
| instance_data_dir: dog | |
| instance_prompt: a photo of sks dog | |
| learning_rate: 5.0e-06 | |
| local_rank: 0 | |
| logging_dir: logs | |
| lr_num_cycles: 1 | |
| lr_power: 1.0 | |
| lr_scheduler: constant | |
| lr_warmup_steps: 0 | |
| max_grad_norm: 1.0 | |
| max_train_steps: 800 | |
| mixed_precision: null | |
| num_class_images: 200 | |
| num_train_epochs: 8 | |
| num_validation_images: 4 | |
| offset_noise: false | |
| output_dir: ./dog_fintuned/ | |
| pre_compute_text_embeddings: false | |
| pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1-base | |
| prior_generation_precision: null | |
| prior_loss_weight: 1.0 | |
| push_to_hub: true | |
| report_to: tensorboard | |
| resolution: 512 | |
| resume_from_checkpoint: null | |
| revision: null | |
| sample_batch_size: 4 | |
| scale_lr: false | |
| seed: null | |
| set_grads_to_none: false | |
| skip_save_text_encoder: false | |
| snr_gamma: null | |
| text_encoder_use_attention_mask: false | |
| tokenizer_max_length: null | |
| tokenizer_name: null | |
| train_batch_size: 1 | |
| train_text_encoder: false | |
| use_8bit_adam: false | |
| validation_prompt: null | |
| validation_scheduler: DPMSolverMultistepScheduler | |
| validation_steps: 100 | |
| variant: null | |
| with_prior_preservation: true | |