another man with horsecock

V1 sample images: https://civitai.com/posts/12553354

sample images for V1.

the following results in the large file size

[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 = 52

sample_sampler = "euler_a"

train_batch_size = 5

noise_offset = 0.03

clip_skip = 1

weighted_captions = false

max_token_length = 225

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]

[dreambooth_arguments]

prior_loss_weight = 1.0

[dataset_arguments]

cache_latents = true