<p>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</p><p>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</p><p>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</p><p></p><h2 id="v001-tq5vho2p1">v001</h2><p>タグの手動整備なし</p><p>10400step 100ep</p>
Public
Pony
<p># 点滴 v001</p><p>### コマンドライン設定</p><p>- <code>accelerate.EXE launch --dynamo_backend no --dynamo_mode default --mixed_precision bf16 --num_processes 2 --num_machines 1 --num_cpu_threads_per_process 2</code></p><p>- <code>sdxl_train_network.py --config_file config_lora-20240618-184456.toml</code></p><p>- <code>--lr_scheduler_type CosineAnnealingLR</code></p><p>- <code>--lr_scheduler_args T_max=1040 eta_min=1e-7</code></p><p>- <code>--network_args loraplus_lr_ratio=16</code></p><p>- <code>--alpha_mask</code></p><p>### toml設定ファイル</p><p>- <code>bucket_no_upscale = true</code></p><p>- <code>bucket_reso_steps = 64</code></p><p>- <code>cache_latents = true</code></p><p>- <code>cache_latents_to_disk = true</code></p><p>- <code>caption_dropout_rate = 0.05</code></p><p>- <code>caption_extension = ".txt"</code></p><p>- <code>clip_skip = 1</code></p><p>- <code>dynamo_backend = "no"</code></p><p>- <code>enable_bucket = true</code></p><p>- <code>epoch = 100</code></p><p>- <code>gradient_accumulation_steps = 1</code></p><p>- <code>gradient_checkpointing = true</code></p><p>- <code>huber_c = 0.1</code></p><p>- <code>huber_schedule = "snr"</code></p><p>- <code>keep_tokens = 1</code></p><p>- <code>learning_rate = 0.0001</code></p><p>- <code>log_with = "wandb"</code></p><p>- <code>logging_dir = "log"</code></p><p>- <code>loss_type = "smooth_l1"</code></p><p>- <code>lr_scheduler = "cosine"</code></p><p>- <code>lr_scheduler_args = []</code></p><p>- <code>lr_scheduler_num_cycles = 1</code></p><p>- <code>lr_scheduler_power = 1</code></p><p>- <code>max_bucket_reso = 2048</code></p><p>- <code>max_data_loader_n_workers = 0</code></p><p>- <code>max_grad_norm = 0.1</code></p><p>- <code>max_timestep = 1000</code></p><p>- <code>max_token_length = 225</code></p><p>- <code>max_train_epochs = 100</code></p><p>- <code>max_train_steps = 10400</code></p><p>- <code>mem_eff_attn = true</code></p><p>- <code>min_bucket_reso = 256</code></p><p>- <code>min_snr_gamma = 5</code></p><p>- <code>mixed_precision = "bf16"</code></p><p>- <code>network_alpha = 32</code></p><p>- <code>network_args = ["rank_dropout=0.2", "module_dropout=0.2"]</code></p><p>- <code>network_dim = 32</code></p><p>- <code>network_dropout = 0.2</code></p><p>- <code>network_module = "networks.lora"</code></p><p>- <code>no_half_vae = true</code></p><p>- <code>noise_offset_type = "Original"</code></p><p>- <code>optimizer_args = ["weight_decay=0.01"]</code></p><p>- <code>optimizer_type = "AdamW8bit"</code></p><p>- <code>output_dir = "output"</code></p><p>- <code>output_name = "intravenousdrip-XLPony_001"</code></p><p>- <code>pretrained_model_name_or_path = "ponyDiffusionV6XL_v6StartWithThisOne.safetensors"</code></p><p>- <code>prior_loss_weight = 0.1</code></p><p>- <code>resolution = "1024,1024"</code></p><p>- <code>sample_prompts = "prompt.txt"</code></p><p>- <code>sample_sampler = "euler_a"</code></p><p>- <code>save_every_n_epochs = 10</code></p><p>- <code>save_model_as = "safetensors"</code></p><p>- <code>save_precision = "bf16"</code></p><p>- <code>save_state = true</code></p><p>- <code>seed = 1</code></p><p>- <code>shuffle_caption = true</code></p><p>- <code>text_encoder_lr = 1e-5</code></p><p>- <code>train_batch_size = 1</code></p><p>- <code>unet_lr = 0.0001</code></p><p>- <code>xformers = true</code></p>
https://civitai.com/api/download/models/580924
true
https://civitai.com/api/download/models/580924
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SafeTensor
intravenousdrip-XLPony_v001.safetensors
No Pickle imports
Success
2024-06-18T09:56:13.736Z
Model
Success
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v001
2024-06-18T10:31:13.693Z
intravenous drip
点滴 intravenous drip-XLPony
objects medical hospitals