| adaptive_noise_scale = 0 |
| bucket_no_upscale = true |
| bucket_reso_steps = 64 |
| cache_latents = true |
| cache_latents_to_disk = true |
| caption_dropout_every_n_epochs = 0 |
| caption_dropout_rate = 0 |
| clip_skip = 1 |
| dynamo_backend = "no" |
| epoch = 1 |
| full_fp16 = true |
| gradient_accumulation_steps = 1 |
| gradient_checkpointing = true |
| huber_c = 0.1 |
| huber_schedule = "snr" |
| keep_tokens = 0 |
| learning_rate = 1e-5 |
| learning_rate_te1 = 3e-6 |
| learning_rate_te2 = 0 |
| logging_dir = "/kaggle/working/outputs/log" |
| loss_type = "l2" |
| lr_scheduler = "constant" |
| lr_scheduler_args = [] |
| lr_scheduler_num_cycles = 1 |
| lr_scheduler_power = 1 |
| lr_warmup_steps = 0 |
| max_bucket_reso = 2048 |
| max_data_loader_n_workers = 0 |
| max_timestep = 1000 |
| max_token_length = 75 |
| max_train_steps = 250 |
| min_bucket_reso = 256 |
| mixed_precision = "fp16" |
| multires_noise_discount = 0 |
| multires_noise_iterations = 0 |
| noise_offset = 0 |
| noise_offset_type = "Original" |
| optimizer_args = [ "scale_parameter=False", "relative_step=False", "warmup_init=False", "weight_decay=0.01",] |
| optimizer_type = "Adafactor" |
| output_dir = "/kaggle/temp/models" |
| output_name = "colorful-Kaggle_SDXL_Base_DreamBooth" |
| persistent_data_loader_workers = 0 |
| pretrained_model_name_or_path = "stabilityai/stable-diffusion-xl-base-1.0" |
| prior_loss_weight = 1 |
| resolution = "1024,1024" |
| sample_prompts = "/kaggle/temp/models/sample/prompt.txt" |
| sample_sampler = "euler_a" |
| save_every_n_epochs = 1 |
| save_every_n_steps = 2251 |
| save_model_as = "safetensors" |
| save_precision = "fp16" |
| sdpa = true |
| train_batch_size = 2 |
| train_data_dir = "/kaggle/working/outputs/img" |
| train_text_encoder = true |
| vae = "stabilityai/sdxl-vae" |
| vae_batch_size = 4 |
| wandb_run_name = "colorful-Kaggle_SDXL_Base_DreamBooth" |
|
|
