|
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 |
|
dataloader_num_workers: 0 |
|
enable_xformers_memory_efficient_attention: false |
|
gradient_accumulation_steps: 4 |
|
gradient_checkpointing: false |
|
hub_model_id: null |
|
hub_token: null |
|
initializer_token: cat |
|
learnable_property: object |
|
learning_rate: 0.002 |
|
local_rank: -1 |
|
logging_dir: logs |
|
lr_num_cycles: 1 |
|
lr_scheduler: constant |
|
lr_warmup_steps: 0 |
|
max_train_steps: 3000 |
|
mixed_precision: 'no' |
|
num_train_epochs: 120 |
|
num_validation_images: 4 |
|
num_vectors: 1 |
|
output_dir: test/textual_inversion_catmarket1 |
|
placeholder_token: <special-catmarket1> |
|
pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5 |
|
push_to_hub: true |
|
repeats: 100 |
|
report_to: tensorboard |
|
resolution: 512 |
|
resume_from_checkpoint: null |
|
revision: null |
|
save_as_full_pipeline: false |
|
save_steps: 500 |
|
scale_lr: true |
|
seed: null |
|
tokenizer_name: null |
|
train_batch_size: 1 |
|
train_data_dir: test/catmarket1 |
|
validation_epochs: null |
|
validation_prompt: null |
|
validation_steps: 100 |
|
|