<pre><code>[[datasets]]

[[datasets.subsets]]

num_repeats = 1



[general]

resolution = 1024

shuffle_caption = true

keep_tokens = 3

flip_aug = true

caption_extension = ".txt"

enable_bucket = true

bucket_reso_steps = 64

bucket_no_upscale = true

min_bucket_reso = 256

max_bucket_reso = 2048</code></pre>

0952am old man malay father 2025 01 29 - V2

below are the samples images prompt.<pre><code>[
{"prompt": "malay father with thick hyper puffy pectorals, nipple piercings, prince albert piercings, and chain inserted into urethra,"}, 
{"prompt": "malay father with hyper erect equinecock, hairy thick pectorals thick muscular thighs"}, 
{"prompt": "realistic photograph of group of married malay men, beefy bodybuilders, hyper erections, thick PA and chain insertions"}
]</code></pre><pre><code>[additional_network_arguments]

unet_lr = 1.0

text_encoder_lr = 1.0

network_dim = 128

network_alpha = 16

network_module = "networks.lora"

[optimizer_arguments]

learning_rate = 1.0

lr_scheduler = "cosine"

lr_warmup_steps = 0

optimizer_type = "Prodigy"

optimizer_args = [ "decouple=True", "weight_decay=0.5", "betas=0.9,0.99", "use_bias_correction=False",]

[training_arguments]

max_train_steps = 0

max_train_epochs = 23

sample_sampler = "euler_a"

train_batch_size = 5

noise_offset = 0.03

clip_skip = 2

weighted_captions = false

max_token_length = 225

lowram = false

max_data_loader_n_workers = 8

persistent_data_loader_workers = true

save_precision = "bf16"

mixed_precision = "bf16"

xformers = true

sdpa = true

no_half_vae = true

gradient_checkpointing = true

gradient_accumulation_steps = 1

[advanced_training_config]

multires_noise_iterations = 6

multires_noise_discount = 0.3

min_snr_gamma = 5.0

[model_arguments]

v2 = false

[dreambooth_arguments]

prior_loss_weight = 1.0

[dataset_arguments]

cache_latents = true</code></pre>

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