Another SDXL LoRA for more ????????????????, this time it is for ?????? and ??? toys. This was a difficult concept for SD 1.5 to master, so we will see how XL can handle it.
v0.3:
Better support for anime and cartoon/render/pixar styles.
More variety of lingerie and clothing, not always with ??????? out.
Works at 0.8-1.0 strength, not as overtrained.
v0.2:
Epoch 93 and 99 are both pretty good, using 0.7 - 0.8 strength.
v0.1:
In general, I think epoch 74 has the best results, using about 0.75 strength.
primary:
dildo for v0.3
sexl_dildo for v0.1 and v0.2
others:
dildo: 1410
1girl: 1254
pussy: 1114
solo: 1099
realistic: 1015
sex toy: 864
object insertion: 837
nude: 674
ass: 634
breasts: 610
masturbation: 603
anus: 569
female ????????????: 563
nipples: 549
spread legs: 534
long hair: 524
pubic hair: 510
vaginal: 505
vaginal object insertion: 488
female pubic hair: 424
lips: 360
lying: 354
brown hair: 349
anal: 338
blonde hair: 317
black hair: 317
anal object insertion: 314
Complete list of tag frequencies: https://gist.github.com/onnx-nsfw/4bd77d82a0354853bec14bc667b1ddd1
dildo, solo, ???, pantyhose, ????, ?????, indoors, ???????????, ???????, fingernails, uncensored, ????, ??? toy, ????, close-up, ????????????, female ????????????, object insertion, realistic, ?????, ?????????, ???? object insertion, ??????? object insertion, lower body, gaping, large insertion, ????? riding
dildo, solo, ???, pantyhose, ?????, ???????????, ???????, uncensored, ????, ??? toy, ????, close-up, ????????????, female ????????????, object insertion, realistic, ?????, ?????????, ???? object insertion, ??????? object insertion, lower body, gaping, large insertion, ????? riding
dildo, solo, ???, ????, ?????, ???????????, ???????, fingernails, uncensored, ????, ??? toy, ????, close-up, ????????????, female ????????????, object insertion, realistic, ?????, ?????????, ???? object insertion, ??????? object insertion, ????? riding
dildo, solo, thighhighs, ?????????, panties, ???, ???????????, bra, black panties, back, ????????? only, lingerie, black bra, close-up, garter belt, head out of frame, ??? focus
dildo, solo, thighhighs, ?????????, panties, ???, ???????????, fishnets, ??? toy, ????, garter belt, object insertion, ?????, ?????????, fishnet pantyhose, ???? object insertion, fishnet thighhighs
Testing this method: https://civitai.com/articles/1771. Versions 0.1 and 0.2 used the 100 epoch method with 2e-05 learning rate.
v0.3:
1458 source images (> 768 in shortest dimension)
1588 random crops (1024x1024)
1410 remaining after curation
up to 12 crops per source
downscaled shortest dimension to 1024
deduplicated with resnet 18, cosine similarity, 0.925 threshold
deleted partial and out of frame
no watermarks
automated captions with WD 1.4, threshold 0.45
incorrect tags removed
2 repeats
8 batch size
100 epochs
32 dim/32 alpha
AdamW8bit with constant
2e-05 learning rate for both text encoder and UNet
shuffle captions
caption dropout rate 0.05
stop text encoder training after 30% (still not sure if this feature is implemented)
v0.2:
344 source images
287 after deduplication and resize
1087 random crops
806 remaining after curation
same method as v0.1
automation captions with WD 1.4, threshold 0.6
lightly curated, incorrect tags removed
3 repeats
8 batch size
100 epochs
32 dim/32 alpha
AdamW8bit with constant
2e-05 learning rate for both text encoder and UNet
shuffle captions
v0.1:
about 500 source images (> 1024x1024)
about 1000 random crops (1024x1024)
440 remaining after curation
deduplicated with resnet 18, cosine similarity, 0.9 threshold
deleted partial and out of frame
no watermarks
1 repeats
8 batch size
100 epochs (models around 45-50 and 70-75 were best)
32 dim/32 alpha
AdamW8bit with constant
2e-05 learning rate for both text encoder and UNet
I am happy to share the data set but do not have a good place for hosting those.
v0.3:
Includes more lingerie and clothing
v0.2:
Next time I need to indicate the color of the ????? in the caption and include more of the image poses.
v0.1:
Next time I think I will try removing the sexl_dildo keyword and specializing the existing ????? token.
{
"LoRA_type": "Standard",
"adaptive_noise_scale": 0,
"additional_parameters": "",
"block_alphas": "",
"block_dims": "",
"block_lr_zero_threshold": "",
"bucket_no_upscale": false,
"bucket_reso_steps": 64,
"cache_latents": true,
"cache_latents_to_disk": true,
"caption_dropout_every_n_epochs": 0.0,
"caption_dropout_rate": 0.05,
"caption_extension": ".txt",
"clip_skip": "1",
"color_aug": false,
"conv_alpha": 1,
"conv_block_alphas": "",
"conv_block_dims": "",
"conv_dim": 1,
"decompose_both": false,
"dim_from_weights": false,
"down_lr_weight": "",
"enable_bucket": false,
"epoch": 100,
"factor": -1,
"flip_aug": true,
"full_bf16": false,
"full_fp16": false,
"gradient_accumulation_steps": "1",
"gradient_checkpointing": true,
"keep_tokens": "0",
"learning_rate": 2e-05,
"logging_dir": "",
"lora_network_weights": "",
"lr_scheduler": "constant",
"lr_scheduler_args": "",
"lr_scheduler_num_cycles": "",
"lr_scheduler_power": "",
"lr_warmup": 0,
"max_bucket_reso": 2048,
"max_data_loader_n_workers": "0",
"max_resolution": "1024,1024",
"max_timestep": 1000,
"max_token_length": "75",
"max_train_epochs": "100",
"max_train_steps": "",
"mem_eff_attn": false,
"mid_lr_weight": "",
"min_bucket_reso": 256,
"min_snr_gamma": 5,
"min_timestep": 0,
"mixed_precision": "fp16",
"model_list": "custom",
"module_dropout": 0,
"multires_noise_discount": 0,
"multires_noise_iterations": 0,
"network_alpha": 32,
"network_dim": 32,
"network_dropout": 0,
"no_token_padding": false,
"noise_offset": 0,
"noise_offset_type": "Original",
"num_cpu_threads_per_process": 2,
"optimizer": "AdamW8bit",
"optimizer_args": "",
"output_dir": "/mnt/training/results/dildo-v03-std/",
"output_name": "last",
"persistent_data_loader_workers": false,
"pretrained_model_name_or_path": "stabilityai/stable-diffusion-xl-base-1.0",
"prior_loss_weight": 1.0,
"random_crop": false,
"rank_dropout": 0,
"reg_data_dir": "",
"resume": "",
"sample_every_n_epochs": 1,
"sample_every_n_steps": 0,
"sample_prompts": "beautiful woman playing with ?????, detailed, 8k, long hair, ???????, open mouth, multiple girls, ???, ????, ?????, ??? toy, ????, object insertion, realistic, ?????, ???? object insertion --d 5 --w 1024 --h 1024 --l 9 --s 75",
"sample_sampler": "euler_a",
"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": "fp16",
"save_state": 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": "",
"shuffle_caption": true,
"stop_text_encoder_training_pct": 30,
"text_encoder_lr": 2e-05,
"train_batch_size": 8,
"train_data_dir": "/mnt/training/cropped/dildo-v03",
"train_on_input": true,
"training_comment": "",
"unet_lr": 2e-05,
"unit": 1,
"up_lr_weight": "",
"use_cp": false,
"use_wandb": false,
"v2": false,
"v_parameterization": false,
"v_pred_like_loss": 0,
"vae_batch_size": 0,
"wandb_api_key": "",
"weighted_captions": false,
"xformers": "xformers"
}v0.3 epoch 97. Includes a greater variety of lingerie and clothing in the training set, works better with anime and 2.5D/3D models.
Note: v0.3 no longer uses the sexl_dildo keyword and now uses the regular dildo keyword, which seems to work equally well or better.
1. Os direitos dos modelos repostados pertencem aos criadores originais.
2. Criadores originais que desejam reivindicar seus modelos devem contatar a equipe do SeaArt AI pelos canais oficiais. Clique para reivindicar
