[sdxl_arguments]
cache_text_encoder_outputs = false
no_half_vae = false
min_timestep = 0
max_timestep = 1000

[model_arguments]
pretrained_model_name_or_path = "/workspace/fine_tune/outputs/animagine-xl-3.0/animagine-xl-3.0-step00062000.safetensors"
vae = "/workspace/vae/sdxl_vae.safetensors"

[dataset_arguments]
shuffle_caption = true
debug_dataset = false
in_json = "/workspace/fine_tune/animagine-xl-3.0_lat.json"
train_data_dir = "/workspace/train_data/animagine-xl-3.0"
dataset_repeats = 1
keep_tokens_separator = "|||"
resolution = "1024, 1024"
caption_dropout_rate = 0
caption_tag_dropout_rate = 0
caption_dropout_every_n_epochs = 0
token_warmup_min = 1
token_warmup_step = 0

[training_arguments]
output_dir = "/workspace/fine_tune/outputs/animagine-xl-3.0"
output_name = "animagine-xl-3.0"
save_precision = "fp16"
save_every_n_steps = 500
save_last_n_steps = true
save_state = true
save_last_n_steps_state = true
train_batch_size = 48
max_token_length = 225
mem_eff_attn = false
xformers = true
sdpa = false
max_train_steps = 29331
max_data_loader_n_workers = 8
persistent_data_loader_workers = true
gradient_checkpointing = true
gradient_accumulation_steps = 1
mixed_precision = "fp16"

[logging_arguments]
log_with = "wandb"
log_tracker_name = "animagine-xl-3.0"
logging_dir = "/workspace/fine_tune/logs"

[sample_prompt_arguments]
sample_every_n_steps = 100
sample_sampler = "euler_a"

[saving_arguments]
save_model_as = "safetensors"

[optimizer_arguments]
optimizer_type = "AdaFactor"
learning_rate = 7.5e-6
train_text_encoder = true
learning_rate_te1 = 3.75e-6
learning_rate_te2 = 3.75e-6
optimizer_args = [ "scale_parameter=False", "relative_step=False", "warmup_init=False",]
lr_scheduler = "constant_with_warmup"
lr_warmup_steps = 100
max_grad_norm = 0

[advanced_training_config]
resume = "/workspace/fine_tune/outputs/animagine-xl-3.0/animagine-xl-3.0-step00062000-state"
resume_from_huggingface = false

[save_to_hub_config]
huggingface_repo_id = ""
huggingface_repo_type = "model"
huggingface_path_in_repo = "animagine-xl-3.0_20231224_233136"
huggingface_token = ""
async_upload = true
save_state_to_huggingface = true
huggingface_repo_visibility = "private"