adam_beta1: 0.9
adam_beta2: 0.999
adam_epsilon: 1.0e-08
adam_weight_decay: 0.01
cache_dir: null
caption_column: text
center_crop: true
checkpointing_steps: 500
dataset_config_name: null
dataset_name: juliaturc/rick-and-morty-s5
eval_prompts: /tmp/prompts.txt
eval_steps: 500
gradient_accumulation_steps: 1
gradient_checkpointing: true
hub_model_id: juliaturc/rick-and-morty-v1
hub_token: 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
image_column: image
learning_rate: 1.0e-05
local_rank: -1
logging_dir: logs
lr_scheduler: constant
lr_warmup_steps: 0
max_grad_norm: 1.0
max_train_samples: null
max_train_steps: 10000
mixed_precision: 'no'
num_train_epochs: 16
output_dir: /home/ubuntu/rickandmorty2
pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
push_to_hub: true
random_flip: true
report_to: tensorboard
resolution: 512
resume_from_checkpoint: /home/ubuntu/rickandmorty/checkpoint-10000
revision: null
scale_lr: false
seed: null
train_batch_size: 4
train_data_dir: null
use_8bit_adam: false
use_ema: true