|
adam_beta1: 0.9 |
|
adam_beta2: 0.999 |
|
adam_epsilon: 1.0e-08 |
|
adam_weight_decay: 0.01 |
|
allow_tf32: false |
|
cache_dir: null |
|
caption_column: text |
|
center_crop: true |
|
checkpointing_steps: 100 |
|
checkpoints_total_limit: null |
|
dataloader_num_workers: 8 |
|
dataset_config_name: null |
|
dataset_name: siya-jain/bottles_data |
|
enable_xformers_memory_efficient_attention: false |
|
gradient_accumulation_steps: 4 |
|
gradient_checkpointing: false |
|
hub_model_id: stable-diffusion-v1-5-bottle-lora |
|
hub_token: null |
|
image_column: image |
|
learning_rate: 0.0001 |
|
local_rank: -1 |
|
logging_dir: logs |
|
lr_scheduler: cosine |
|
lr_warmup_steps: 0 |
|
max_grad_norm: 1.0 |
|
max_train_samples: null |
|
max_train_steps: 150 |
|
mixed_precision: null |
|
noise_offset: 0 |
|
num_train_epochs: 19 |
|
num_validation_images: 4 |
|
output_dir: /content/finetune/lora/bottle_generation |
|
prediction_type: null |
|
pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5 |
|
push_to_hub: true |
|
random_flip: true |
|
rank: 4 |
|
report_to: tensorboard |
|
resolution: 512 |
|
resume_from_checkpoint: null |
|
revision: null |
|
scale_lr: false |
|
seed: 1337 |
|
snr_gamma: null |
|
train_batch_size: 1 |
|
train_data_dir: null |
|
use_8bit_adam: false |
|
validation_epochs: 1 |
|
validation_prompt: an Alamos wine bottle |
|
variant: null |
|
|