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adam_beta1: 0.9
adam_beta2: 0.999
adam_epsilon: 1.0e-08
adam_weight_decay: 0.0001
adam_weight_decay_text_encoder: null
allow_tf32: false
cache_dir: null
cache_latents: false
caption_column: prompt_limin_scene.jsonl
center_crop: false
checkpointing_steps: 1000
checkpoints_total_limit: null
class_data_dir: class_data_setting11
class_prompt: a digital painting
dataloader_num_workers: 0
dataset_config_name: null
dataset_name: null
enable_xformers_memory_efficient_attention: false
gradient_accumulation_steps: 1
gradient_checkpointing: false
hub_model_id: null
hub_token: null
image_column: image
instance_data_dir: ./limin_scene
instance_prompt: a digital painting in the style of <shanshui>
learning_rate: 1.0e-05
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: 10000
mixed_precision: null
noise_offset: 0
num_class_images: 100
num_new_tokens_per_abstraction: 2
num_train_epochs: 100
num_validation_images: 4
optimizer: adamW
output_dir: zhongguoribao_model_setting12
pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
pretrained_vae_model_name_or_path: null
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
rank: 4
repeats: 1
report_to: tensorboard
resolution: 512
resume_from_checkpoint: null
revision: null
sample_batch_size: 4
scale_lr: false
seed: 0
snr_gamma: null
text_encoder_lr: 5.0e-06
token_abstraction: TOK
train_batch_size: 1
train_text_encoder: false
train_text_encoder_frac: 1.0
train_text_encoder_ti: true
train_text_encoder_ti_frac: 0.5
use_8bit_adam: false
use_dora: false
validation_epochs: 500
validation_prompt: a digital painting of a giant panda in the style of <shanshui>
variant: null
with_prior_preservation: true