v1 sample images can be found here: https://civarchive.com/posts/12553354<pre><code>https://civarchive.com/posts/12553354</code></pre>original images used the following prompts[{"prompt": "standing by the beach"}, {"prompt": "man working as a police officer"}, {"prompt": "man going to work in an empty train cabin"}][[datasets]][[datasets.subsets]]num_repeats = 8[general]resolution = 1024shuffle_caption = truekeep_tokens = 2flip_aug = trueenable_bucket = truebucket_reso_steps = 64bucket_no_upscale = truemin_bucket_reso = 256max_bucket_reso = 2048

another man with horsecock

<pre><code>V1 sample images: https://civitai.com/posts/12553354</code></pre>sample images for V1.the following results in the large file size<pre><code>[additional_network_arguments]

unet_lr = 1.0

text_encoder_lr = 1.0

network_dim = 128

network_alpha = 16

network_module = "networks.lora"</code></pre>[optimizer_arguments]learning_rate = 1.0lr_scheduler = "cosine"lr_warmup_steps = 0optimizer_type = "Prodigy"optimizer_args = [ "decouple=True", "weight_decay=0.5", "betas=0.9,0.99", "use_bias_correction=False",][training_arguments]max_train_steps = 0max_train_epochs = 52sample_sampler = "euler_a"train_batch_size = 5noise_offset = 0.03clip_skip = 1weighted_captions = falsemax_token_length = 225save_precision = "bf16"mixed_precision = "bf16"xformers = truesdpa = trueno_half_vae = truegradient_checkpointing = truegradient_accumulation_steps = 1[advanced_training_config]multires_noise_iterations = 6multires_noise_discount = 0.3min_snr_gamma = 5.0[model_arguments][dreambooth_arguments]prior_loss_weight = 1.0[dataset_arguments]cache_latents = true

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