Updated Ver NOOB V-PRED V2
Trained based on NOOB V-PRED 1.0 with OneTrainer. See about this version for training details.
It can do better wrinkles on pants and ????? shape in this version. Sometimes it has text around but easily to remove with negative prompts.
The adaptability to art style has weakened in this version. In this case, upweight the style lora or doing a few more trials can be helpful.
Updated Ver NOOB V-PRED V1
Trained based on NOOB V-PRED 1.0. Updated dataset to achieve better performance. It enhanced this concept on NOOB series models. See the examples first.
Only one trigger word in this version.
Updated
Used PonyXL to train this one. Updated dataset to achieve better performance. It enhanced this concept on PonyXL and related models. See the examples first.
Seperated into two concepts: bulge down leg with pants/bulge down leg with dress.
Introduction
An experimental LyCORIS, used to generate futanari with bulge down leg.
Still a lot of room for improvement.
Pros
Can generate futanari with bulge down leg.
Cons
Using 3D materials for training, the art style may become strange under high weights.
Penis twisted with legs.
Confused the glan with knees.
Bad ????? shape.
A lot of trials needed.
How to use it
I recommand using it in weight 0.7-0.8.
Training details
Traingset is of about 34 images. Half of them are chosen as regularization images. Total steps are about 1500.
resolution=768*768
batch_size=2
epoch=10
network_dim=16
network_alpha=16
conv_dim=4
conv_alpha=4
clip_skip=2
Using Prodigy as optimizer, setting as the author recommend.
Description
{
"LoRA_type": "LyCORIS/LoCon",
"LyCORIS_preset": "full",
"adaptive_noise_scale": 0,
"additional_parameters": "",
"async_upload": false,
"block_alphas": "",
"block_dims": "",
"block_lr_zero_threshold": "",
"bucket_no_upscale": true,
"bucket_reso_steps": ??,
"bypass_mode": false,
"cache_latents": false,
"cache_latents_to_disk": false,
"caption_dropout_every_n_epochs": 0,
"caption_dropout_rate": 0,
"caption_extension": ".txt",
"clip_skip": 0,
"color_aug": false,
"constrain": 0,
"conv_alpha": 8,
"conv_block_alphas": "",
"conv_block_dims": "",
"conv_dim": 16,
"dataset_config": "",
"debiased_estimation_loss": false,
"decompose_both": false,
"dim_from_weights": false,
"dora_wd": false,
"down_lr_weight": "",
"dynamo_backend": "no",
"dynamo_mode": "default",
"dynamo_use_dynamic": false,
"dynamo_use_fullgraph": false,
"enable_bucket": true,
"epoch": 10,
"extra_accelerate_launch_args": "",
"factor": -1,
"flip_aug": false,
"fp8_base": false,
"full_bf16": false,
"full_fp16": false,
"gpu_ids": "",
"gradient_accumulation_steps": 1,
"gradient_checkpointing": true,
"huber_c": 0.1,
"huber_schedule": "snr",
"huggingface_path_in_repo": "",
"huggingface_repo_id": "",
"huggingface_repo_type": "",
"huggingface_repo_visibility": "",
"huggingface_token": "",
"ip_noise_gamma": 0.1,
"ip_noise_gamma_random_strength": false,
"keep_tokens": 0,
"learning_rate": 1,
"log_tracker_config": "",
"log_tracker_name": "",
"log_with": "tensorboard",
"logging_dir": "/root/autodl-tmp/outputs",
"loss_type": "l2",
"lr_scheduler": "cosine",
"lr_scheduler_args": "",
"lr_scheduler_num_cycles": 1,
"lr_scheduler_power": 1,
"lr_warmup": 1,
"main_process_port": 0,
"masked_loss": false,
"max_bucket_reso": 4096,
"max_data_loader_n_workers": 0,
"max_grad_norm": 1,
"max_resolution": "1024,1024",
"max_timestep": 1000,
"max_token_length": 225,
"max_train_epochs": 0,
"max_train_steps": 0,
"mem_eff_attn": false,
"metadata_author": "",
"metadata_description": "",
"metadata_license": "",
"metadata_tags": "",
"metadata_title": "",
"mid_lr_weight": "",
"min_bucket_reso": 1024,
"min_snr_gamma": 5,
"min_timestep": 0,
"mixed_precision": "bf16",
"model_list": "custom",
"module_dropout": 0,
"multi_gpu": false,
"multires_noise_discount": 0.1,
"multires_noise_iterations": 6,
"network_alpha": 16,
"network_dim": 32,
"network_dropout": 0,
"network_weights": "",
"noise_offset": 0,
"noise_offset_random_strength": false,
"noise_offset_type": "Multires",
"num_cpu_threads_per_process": 2,
"num_machines": 1,
"num_processes": 1,
"optimizer": "Prodigy",
"optimizer_args": "\"weight_decay=0.01\" \"d_coef=0.8\" \"use_bias_correction=True\" \"safeguard_warmup=True\" \"betas=0.9,0.99\" \"decouple=True\"",
"output_dir": "/root/autodl-tmp/outputs",
"output_name": "bulge_down_leg_NOOB_V-PRED1.0_V2_dim32",
"persistent_data_loader_workers": false,
"pretrained_model_name_or_path": "/root/kohya_ss/models/noobaiXLNAIXL_vPred10Version.safetensors",
"prior_loss_weight": 1,
"random_crop": false,
"rank_dropout": 0,
"rank_dropout_scale": false,
"reg_data_dir": "",
"rescaled": false,
"resume": "",
"resume_from_huggingface": "",
"sample_every_n_epochs": 1,
"sample_every_n_steps": 0,
"sample_prompts": "bdl, 1girl, solo, breasts, looking at viewer, smile, blue eyes, cleavage, jewelry, blue hair, weapon, thighs, large ?????, sword, huge breasts, covered ???????, thick thighs, ????????, ?????????, cross, hand on own face, curvy, bulge, futanari, nun, habit, cross necklace, ???????? under clothes, gigantic breasts, ????? under clothes, masterpiece, best quality, amazing quality, highres, absurdres --n oldest, old, worst quality, low quality, normal quality, bad ???????, cropped, deformed, multiple views, bad hands, bad proportions, multiple legs, censored, mosaic censoring, bar censor, signature, watermark, username, lowres, scan artifacts, jpeg artifacts, text, manga, comic, sketch, unfinished, game cg, --w 768 --h 1024, --l 5, --s 28",
"sample_sampler": "euler",
"save_every_n_epochs": 1,
"save_every_n_steps": 0,
"save_last_n_steps": 0,
"save_last_n_steps_state": 0,
"save_model_as": "safetensors",
"save_precision": "bf16",
"save_state": false,
"save_state_on_train_end": false,
"save_state_to_huggingface": false,
"scale_v_pred_loss_like_noise_pred": false,
"scale_weight_norms": 0,
"sdxl": true,
"sdxl_cache_text_encoder_outputs": false,
"sdxl_no_half_vae": true,
"seed": 31337,
"shuffle_caption": true,
"stop_text_encoder_training_pct": 0,
"text_encoder_lr": 1,
"train_batch_size": 2,
"train_data_dir": "/root/autodl-tmp/bulge_down_leg",
"train_norm": false,
"train_on_input": true,
"training_comment": "",
"unet_lr": 1,
"unit": 1,
"up_lr_weight": "",
"use_cp": false,
"use_scalar": false,
"use_tucker": false,
"v2": false,
"v_parameterization": true,
"v_pred_like_loss": 0,
"vae": "/root/kohya_ss/models/sdxl_vae_fp16fix.safetensors",
"vae_batch_size": 0,
"wandb_api_key": "",
"wandb_run_name": "",
"weighted_captions": false,
"xformers": "xformers"
}