adaptive_noise_scale = 0
ae = "/workspace/ae.safetensors"
apply_t5_attn_mask = true
blocks_to_swap = 0
bucket_no_upscale = true
bucket_reso_steps = 64
cache_latents = true
caption_dropout_every_n_epochs = 0
caption_dropout_rate = 0
caption_extension = ".txt"
clip_l = "/workspace/clip_l.safetensors"
clip_skip = 1
discrete_flow_shift = 3
double_blocks_to_swap = 0
dynamo_backend = "no"
enable_bucket = true
epoch = 1
gradient_accumulation_steps = 1
guidance_scale = 2
huber_c = 0.1
huber_scale = 1
huber_schedule = "snr"
keep_tokens = 0
learning_rate = 1e-5
learning_rate_te = 1e-5
logging_dir = "/workspace/kohya_ss/outputs/img/log"
loss_type = "l2"
lr_scheduler = "cosine"
lr_scheduler_args = []
lr_scheduler_num_cycles = 1
lr_scheduler_power = 1
lr_warmup_steps = 0.1
max_bucket_reso = 2048
max_data_loader_n_workers = 0
max_timestep = 1000
max_token_length = 75
max_train_steps = 1600
min_bucket_reso = 256
mixed_precision = "fp16"
model_prediction_type = "sigma_scaled"
multires_noise_discount = 0.3
multires_noise_iterations = 0
noise_offset = 0
noise_offset_type = "Original"
optimizer_type = "AdamW8bit"
output_dir = "/workspace/kohya_ss/outputs/img/model"
output_name = "interiors_"
persistent_data_loader_workers = 0
pretrained_model_name_or_path = "/workspace/flux1-dev.safetensors"
prior_loss_weight = 1
resolution = "1024,1024"
sample_prompts = "/workspace/kohya_ss/outputs/img/model/sample/prompt.txt"
sample_sampler = "euler_a"
save_every_n_epochs = 1
save_model_as = "safetensors"
save_precision = "fp16"
single_blocks_to_swap = 0
t5xxl = "/workspace/t5xxl_fp16.safetensors"
t5xxl_max_token_length = 1024
timestep_sampling = "sigma"
train_batch_size = 1
train_blocks = "all"
train_data_dir = "/workspace/kohya_ss/outputs/img/img"
wandb_run_name = "interiors_"
xformers = true