点滴 intravenous drip-XLPony版本v001 (ID: 580924)

いつも通りdanbooruやreluとかで画像集めたらエロ画像のデータがやたら増えた

普通に治療中の画像とかは割とセンシティブな個人情報だから集まり悪いのもうなづける

v002を作るにあたっていい画像のオススメがあれば教えて

v001

タグの手動整備なし

10400step 100ep

描述:

# 点滴 v001

### コマンドライン設定

- accelerate.EXE launch --dynamo_backend no --dynamo_mode default --mixed_precision bf16 --num_processes 2 --num_machines 1 --num_cpu_threads_per_process 2

- sdxl_train_network.py --config_file config_lora-20240618-184456.toml

- --lr_scheduler_type CosineAnnealingLR

- --lr_scheduler_args T_max=1040 eta_min=1e-7

- --network_args loraplus_lr_ratio=16

- --alpha_mask

### toml設定ファイル

- bucket_no_upscale = true

- bucket_reso_steps = 64

- cache_latents = true

- cache_latents_to_disk = true

- caption_dropout_rate = 0.05

- caption_extension = ".txt"

- clip_skip = 1

- dynamo_backend = "no"

- enable_bucket = true

- epoch = 100

- gradient_accumulation_steps = 1

- gradient_checkpointing = true

- huber_c = 0.1

- huber_schedule = "snr"

- keep_tokens = 1

- learning_rate = 0.0001

- log_with = "wandb"

- logging_dir = "log"

- loss_type = "smooth_l1"

- lr_scheduler = "cosine"

- lr_scheduler_args = []

- lr_scheduler_num_cycles = 1

- lr_scheduler_power = 1

- max_bucket_reso = 2048

- max_data_loader_n_workers = 0

- max_grad_norm = 0.1

- max_timestep = 1000

- max_token_length = 225

- max_train_epochs = 100

- max_train_steps = 10400

- mem_eff_attn = true

- min_bucket_reso = 256

- min_snr_gamma = 5

- mixed_precision = "bf16"

- network_alpha = 32

- network_args = ["rank_dropout=0.2", "module_dropout=0.2"]

- network_dim = 32

- network_dropout = 0.2

- network_module = "networks.lora"

- no_half_vae = true

- noise_offset_type = "Original"

- optimizer_args = ["weight_decay=0.01"]

- optimizer_type = "AdamW8bit"

- output_dir = "output"

- output_name = "intravenousdrip-XLPony_001"

- pretrained_model_name_or_path = "ponyDiffusionV6XL_v6StartWithThisOne.safetensors"

- prior_loss_weight = 0.1

- resolution = "1024,1024"

- sample_prompts = "prompt.txt"

- sample_sampler = "euler_a"

- save_every_n_epochs = 10

- save_model_as = "safetensors"

- save_precision = "bf16"

- save_state = true

- seed = 1

- shuffle_caption = true

- text_encoder_lr = 1e-5

- train_batch_size = 1

- unet_lr = 0.0001

- xformers = true

训练词语: intravenous drip