
It would be great if you could share your works using this module with me!
描述:
Using colors as trigger words in the 1.0 version doesn't seem like a good idea, so version 2.0 uses other trigger words and increases the training steps.
Folder 10_mix_gost: 66 images found
Folder 10_mix_gost: 660 steps
Folder 25_gost: 5 images found
Folder 25_gost: 125 steps
Folder 25_mix_axolotl: 30 images found
Folder 25_mix_axolotl: 750 steps
Folder 25_mix_blueD: 30 images found
Folder 25_mix_blueD: 750 steps
Folder 25_mix_bug: 31 images found
Folder 25_mix_bug: 775 steps
Folder 25_mix_coral: 29 images found
Folder 25_mix_coral: 725 steps
Folder 25_mix_creature: 30 images found
Folder 25_mix_creature: 750 steps
Folder 25_mix_flower: 31 images found
Folder 25_mix_flower: 775 steps
Folder 25_mix_frog: 30 images found
Folder 25_mix_frog: 750 steps
Folder 25_mix_J: 30 images found
Folder 25_mix_J: 750 steps
Folder 25_mix_octopus: 30 images found
Folder 25_mix_octopus: 750 steps
Folder 25_mix_preal: 30 images found
Folder 25_mix_preal: 750 steps
Folder 25_mix_sea slug: 30 images found
Folder 25_mix_sea slug: 750 steps
Folder 25_mix_shark: 29 images found
Folder 25_mix_shark: 725 steps
Folder 25_mix_snow: 30 images found
Folder 25_mix_snow: 750 steps
Folder 25_mix_spring: 31 images found
Folder 25_mix_spring: 775 steps
max_train_steps = 28275
stop_text_encoder_training = 0
lr_warmup_steps = 0
Here is the trainer command as a reference. It will not be executed:
accelerate launch --num_cpu_threads_per_process=2 "train_network.py"
--pretrained_model_name_or_path="D:/ai/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned.safetensors"
--train_data_dir="D:/ai/test/image"
--resolution=768,768 --output_dir="D:/ai/test/model"
--logging_dir="D:/ai/test/log"
--network_alpha="128"
--save_model_as=safetensors
--network_module=networks.lora
--text_encoder_lr=5e-5
--unet_lr=0.0001
--network_dim=128
--output_name="25_preal_1v5_768_0001BD5e_NR128NA128off"
--lr_scheduler_num_cycles="5"
--learning_rate="0.0001"
--lr_scheduler="constant"
--train_batch_size="2"
--max_train_steps="28275"
--save_every_n_epochs="1"
--mixed_precision="bf16"
--save_precision="bf16"
--seed="1234"
--caption_extension=".txt"
--cache_latents
--optimizer_type="AdamW8bit"
--max_data_loader_n_workers="1"
--clip_skip=2
--bucket_reso_steps=64
--xformers
--bucket_no_upscale
训练词语: mix_\(spring\),spring,mix_\(snowflake\),snowflake,mix_\(shark\),mix_\(sea slug\),sea slug,mix_\(preal\),preal,mix_\(octopus\),mix_\(jellyfish\),mix_\(frog\),green,transparent,mix_\(flower\),mix_\(creature\),gray,mix_\(coral\),mix_\(bug\),mix_\(sea blue dragon\),mix_\(axolotl\),mix_\(gost\),gost
名称: 25_preal_1v5_768_0001BD5e_NR128NA128off.safetensors
大小 (KB): 147595
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success