<h3 id="ver-anima-v1">Ver Anima V1</h3>Trained base on Anima V0.1 base with LoRA_Easy_Training_Scripts. See about this version for training details. Triggerwords changed. See the examples first.<h3 id="noob-v-pred-v1">NOOB V-PRED V1</h3>Trained base on NOOB V-PRED 1.0 with OneTrainer. See about this version for training details. Updated the dataset to get better results.<h3 id="ponyxl">PonyXL</h3>Trained based on Pony model, now the concept erection under pantyhose can be easily generated.Stockings will be stretched out instead of wrapped around penis. If somebody wants the wrapped one, he/she just need to type it in the prompt and generate it with Pony model.<h3 id="introduction">Introduction</h3>This LyCORIS is used to generate futanari with penis in pantyhose. Not erection in pantyhose. More like a tight fitting garment worn over the penis.<h3 id="pros">Pros</h3><ul><li>Can be combined with multiple Loras</li></ul><h3 id="cons">Cons</h3><ul><li>Using 3D materials for training, the art style may become strange under high weights</li></ul><h3 id="how-to-use-it">How to use it</h3>I recommand using it in weight 0.7-0.8.<h3 id="training-details">Training details</h3>Traingset is of about 30 images. Half of them are chosen as regularization images. Total steps are about 3000.resolution=768*768batch_size=2epoch=10network_dim=16network_alpha=16conv_dim=4conv_alpha=4clip_skip=2Using Prodigy as optimizer, setting as the author recommend.

Under pantyhose

[[subsets]]caption_extension = ".txt"caption_tag_dropout_rate = 0.05image_dir = "G:/dataset/concept/under_pantyhose/10_uphalf-erect"keep_tokens = 1name = "10"num_repeats = 10random_crop_padding_percent = 0.05shuffle_caption = true[[subsets]]caption_extension = ".txt"caption_tag_dropout_rate = 0.05image_dir = "G:/dataset/concept/under_pantyhose/5_uperection"keep_tokens = 1name = "5"num_repeats = 5random_crop_padding_percent = 0.05shuffle_caption = true[[subsets]]caption_extension = ".txt"caption_tag_dropout_rate = 0.05image_dir = "G:/dataset/concept/under_pantyhose/5_upflaccid"keep_tokens = 1name = "5_1790613420873546300"num_repeats = 5random_crop_padding_percent = 0.05shuffle_caption = true[train_mode]train_mode = "lora"[general_args.args]persistent_data_loader_workers = truevae_batch_size = 5pretrained_model_name_or_path = ""mixed_precision = "bf16"gradient_checkpointing = truegradient_accumulation_steps = 1seed = 42max_data_loader_n_workers = 1max_token_length = 225prior_loss_weight = 1.0sdpa = truemax_train_epochs = 20cache_latents = truecache_latents_to_disk = true[general_args.dataset_args]resolution = 1024batch_size = 5[network_args.args]network_dim = 32network_alpha = 16.0min_timestep = 0max_timestep = 1000network_train_unet_only = true[optimizer_args.args]optimizer_type = "ProdigyPlusScheduleFree"lr_scheduler = "constant"loss_type = "l2"learning_rate = 1.0unet_lr = 1.0max_grad_norm = 1.0[saving_args.args]output_dir = "G:/LoRA_Easy_Training_Scripts/output"output_name = "under_pantyhose-anima1.0-V1-loha-dim32conv16AR0.5-NewTag"save_precision = "bf16"save_model_as = "safetensors"save_every_n_epochs = 1save_toml = truesave_toml_location = "G:/LoRA_Easy_Training_Scripts/output"[logging_args.args]log_prefix_mode = "disabled"run_name_mode = "default"[anima_args.args]pretrained_model_name_or_path = "G:/sd-webui-forge-neo/models/Stable-diffusion/ANIMA/anima_baseV10.safetensors"qwen3 = "G:/sd-webui-forge-neo/models/text_encoder/qwen_3_06b_base.safetensors"vae = "G:/sd-webui-forge-neo/models/VAE/qwen_image_vae.safetensors"qwen3_max_token_length = 512t5_max_token_length = 512timestep_sampling = "sigmoid"sigmoid_scale = 1.0[edm_loss_args.args]edm2_loss_weighting = false[bucket_args.dataset_args]enable_bucket = truemin_bucket_reso = 256max_bucket_reso = 2048bucket_reso_steps = 64[network_<a target="_blank" rel="ugc" href="http://args.args.network">args.args.network</a>_args]conv_dim = 16conv_alpha = 8.0algo = "loha"train_llm_adapter = "false"[optimizer_args.args.optimizer_args]betas = "0.95,0.99"beta3 = "None"weight_decay = "0"weight_decay_by_lr = "True"d0 = "2e-5"d_coef = "1"d_limiter = "True"schedulefree_c = "0"eps = "None"split_groups = "True"split_groups_mean = "False"factored = "True"factored_fp32 = "True"use_bias_correction = "True"use_stableadamw = "True"use_schedulefree = "True"use_speed = "False"stochastic_rounding = "True"fused_back_pass = "False"use_cautious = "False"use_grams = "False"use_adopt = "False"use_orthograd = "False"use_focus = "False"

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