fapont's picture
End of training
daefe1d
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: 717
checkpoints_total_limit: null
class_data_dir: null
class_prompt: null
crops_coords_top_left_h: 0
crops_coords_top_left_w: 0
dataloader_num_workers: 0
enable_xformers_memory_efficient_attention: true
gradient_accumulation_steps: 2
gradient_checkpointing: true
hub_model_id: null
hub_token: null
instance_data_dir: michel
instance_prompt: a photo of michel
learning_rate: 0.0001
local_rank: -1
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: 500
mixed_precision: fp16
num_class_images: 100
num_train_epochs: 100
num_validation_images: 4
output_dir: lora-trained-xl-colab
pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
prior_generation_precision: null
prior_loss_weight: 1.0
push_to_hub: true
rank: 4
report_to: tensorboard
resolution: 512
resume_from_checkpoint: null
revision: null
sample_batch_size: 4
scale_lr: false
seed: 0
train_batch_size: 2
train_text_encoder: false
use_8bit_adam: true
validation_epochs: 50
validation_prompt: null
with_prior_preservation: false