|
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: false |
|
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_sequence_length: 77 |
|
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 |
|
precondition_outputs: 1 |
|
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 |
|
train_text_encoder: false |
|
use_8bit_adam: true |
|
validation_epochs: 50 |
|
validation_prompt: null |
|
variant: null |
|
weighting_scheme: logit_normal |
|
with_prior_preservation: false |
|
|