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[model_arguments] |
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v2 = true |
|
v_parameterization = true |
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pretrained_model_name_or_path = "/content/pretrained_model/Regainer-v3.safetensors" |
|
|
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[optimizer_arguments] |
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min_snr_gamma = 5 |
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optimizer_type = "AdamW8bit" |
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learning_rate = 2e-6 |
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max_grad_norm = 1.0 |
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lr_scheduler = "constant" |
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lr_warmup_steps = 0 |
|
|
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[dataset_arguments] |
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cache_latents = true |
|
debug_dataset = false |
|
vae_batch_size = 1 |
|
|
|
[training_arguments] |
|
output_dir = "/content/dreambooth/output" |
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output_name = "Regainer-v6" |
|
save_precision = "fp16" |
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save_n_epoch_ratio = 1 |
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save_state = true |
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resume = "/content/dreambooth/regainer-v4-state" |
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train_batch_size = 2 |
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max_token_length = 225 |
|
mem_eff_attn = false |
|
xformers = true |
|
max_train_steps = 7292 |
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max_data_loader_n_workers = 8 |
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persistent_data_loader_workers = true |
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gradient_checkpointing = false |
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gradient_accumulation_steps = 1 |
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mixed_precision = "fp16" |
|
logging_dir = "/content/dreambooth/logs" |
|
log_prefix = "Regainer-v6" |
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noise_offset = 0.1 |
|
|
|
[sample_prompt_arguments] |
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sample_every_n_steps = 200 |
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sample_sampler = "ddim" |
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|
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[dreambooth_arguments] |
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prior_loss_weight = 1.0 |
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|
|
[saving_arguments] |
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save_model_as = "safetensors" |
|
|