Upload config.json

config.json

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+[network_arguments]
+unet_lr = 0.75
+text_encoder_lr = 0.75
+network_dim = 32
+network_alpha = 32
+network_module = "networks.lora"
+network_args = [ "conv_dim=32", "conv_alpha=16",]
+network_train_unet_only = false
+
+[optimizer_arguments]
+learning_rate = 0.75
+lr_scheduler = "cosine_with_restarts"
+lr_scheduler_num_cycles = 5
+lr_warmup_steps = 34
+optimizer_type = "Prodigy"
+optimizer_args = [ "weight_decay=0.1", "betas=[0.9,0.99]",]
+
+[training_arguments]
+pretrained_model_name_or_path = "sd_xl_base_1.0.safetensors"
+vae = "sdxl_vae.safetensors"
+max_train_epochs = 10
+train_batch_size = 4
+seed = 42
+max_token_length = 225
+xformers = false
+sdpa = true
+min_snr_gamma = 8.0
+lowram = false
+no_half_vae = true
+gradient_checkpointing = true
+gradient_accumulation_steps = 1
+max_data_loader_n_workers = 8
+persistent_data_loader_workers = true
+mixed_precision = "fp16"
+full_bf16 = false
+cache_latents = true
+cache_latents_to_disk = true
+cache_text_encoder_outputs = false
+min_timestep = 0
+max_timestep = 1000
+prior_loss_weight = 1.0
+
+[saving_arguments]
+save_precision = "fp16"
+save_model_as = "safetensors"
+save_every_n_epochs = 1
+save_last_n_epochs = 10