Increased species and resolution compared to version 1.0
When using common species such as dogs tiger, cat......, you only need to add the species name without necessarily using a trigger word.
However, using a trigger word can more accurately call up specific data such as gender, caterpillars......
There are the following species:
-- were_\(dog\), were_\(male-dog\), were_\(female-dog\),weredog, dog,
--were_\(bird\), were_\(male-bird\), were_\(female-bird\), werebird, bird,
-- were_\(lizard\), were_\(male-lizard\), were_\(female-lizard\),werelizard, lizard,
--were_\(shark\),Same as above.......
--were_\(cat\),Same as above.......
--were_\(wolf\),Same as above.......
--were_\(tiger\),Same as above.......
--were_\(fox\),Same as above.......
--were_\(salamander\),Same as above.......
--were_\(lion\),Same as above.......
--were_\(mouse\),Same as above.......
--were_\(rabbit\),Same as above.......
--were_\(frog\),Same as above.......
--were_\(ox\),Same as above.......
--were_\(Chimpanzees\),Same as above.......
--were_\(horse\),Same as above.......
--were_\(weasel\),Same as above.......
--were_\(Caterpillar\),Same as above.......
--were_\(deer\),Same as above.......
--were_\(pig\),Same as above.......
--were_\(sloth\),Same as above.......
load StableDiffusion checkpoint Folder 10_cat-female_BD_1: 72 images found Folder 10_cat-female_BD_1: 720 steps Folder 10_wolf_male_BD: 75 images found Folder 10_wolf_male_BD: 750 steps Folder 11_tiger_male_BD: 73 images found Folder 11_tiger_male_BD: 803 steps Folder 125_ox_femail_BD: 6 images found Folder 125_ox_femail_BD: 750 steps Folder 125_rabbit_male_BD: 6 images found Folder 125_rabbit_male_BD: 750 steps Folder 12_cat-male_BD1: 66 images found Folder 12_cat-male_BD1: 792 steps Folder 13_fox-female_BD: 58 images found Folder 13_fox-female_BD: 754 steps Folder 13_fox-male_BD: 58 images found Folder 13_fox-male_BD: 754 steps Folder 150_pig: 1 images found Folder 150_pig: 150 steps Folder 16_salamander_BD: 49 images found Folder 16_salamander_BD: 784 steps Folder 20_lion-male_BD: 38 images found Folder 20_lion-male_BD: 760 steps Folder 20_mouse_male_BD: 38 images found Folder 20_mouse_male_BD: 760 steps Folder 20_rabbit_female_BD: 40 images found Folder 20_rabbit_female_BD: 800 steps Folder 21_bird-female_BD_1: 36 images found Folder 21_bird-female_BD_1: 756 steps Folder 23_mouse_female_BD: 33 images found Folder 23_mouse_female_BD: 759 steps Folder 23_werefrog: 33 images found Folder 23_werefrog: 759 steps Folder 250_hippo-female_BD: 3 images found Folder 250_hippo-female_BD: 750 steps Folder 25_lizard-female_BD: 30 images found Folder 25_lizard-female_BD: 750 steps Folder 25_tiger_female_BD: 30 images found Folder 25_tiger_female_BD: 750 steps Folder 26_Leopard_male_BD: 29 images found Folder 26_Leopard_male_BD: 754 steps Folder 26_Sideburns_female_BD: 29 images found Folder 26_Sideburns_female_BD: 754 steps Folder 27_werejellyfish: 28 images found Folder 27_werejellyfish: 756 steps Folder 29_shark_female_BD: 26 images found Folder 29_shark_female_BD: 754 steps Folder 29_wolf_female_BD: 26 images found Folder 29_wolf_female_BD: 754 steps Folder 30_Leopard_female_BD: 25 images found Folder 30_Leopard_female_BD: 750 steps Folder 33_deer-male_BD: 23 images found Folder 33_deer-male_BD: 759 steps Folder 33_sheep_male_BD: 23 images found Folder 33_sheep_male_BD: 759 steps Folder 357_sloth_BD: 2 images found Folder 357_sloth_BD: 714 steps Folder 375_Leopard_female_panthers_BD: 2 images found Folder 375_Leopard_female_panthers_BD: 750 steps Folder 40_lion-female_BD: 19 images found Folder 40_lion-female_BD: 760 steps Folder 44_raccoon_male_BD: 17 images found Folder 44_raccoon_male_BD: 748 steps Folder 50_bear_BD1: 15 images found Folder 50_bear_BD1: 750 steps Folder 50_raccoon_female_BD: 15 images found Folder 50_raccoon_female_BD: 750 steps Folder 50_sheep_female_BD: 16 images found Folder 50_sheep_female_BD: 800 steps Folder 58_Sideburns_male_BD: 13 images found Folder 58_Sideburns_male_BD: 754 steps Folder 68_snake_BD: 11 images found Folder 68_snake_BD: 748 steps Folder 69_Leopard_male_panthers_BD: 11 images found Folder 69_Leopard_male_panthers_BD: 759 steps Folder 75_ox_male_BD: 10 images found Folder 75_ox_male_BD: 750 steps Folder 7_dog-male_BD: 124 images found Folder 7_dog-male_BD: 868 steps Folder 84_Chimpanzees-male_BD: 9 images found Folder 84_Chimpanzees-male_BD: 756 steps Folder 84_horse-female_BD: 9 images found Folder 84_horse-female_BD: 756 steps Folder 84_weasel_female_BD: 9 images found Folder 84_weasel_female_BD: 756 steps Folder 84_wereCaterpillar: 9 images found Folder 84_wereCaterpillar: 756 steps Folder 8_bird-male_BD_1: 103 images found Folder 8_bird-male_BD_1: 824 steps Folder 94_deer-female_BD: 8 images found Folder 94_deer-female_BD: 752 steps Folder 9_dog-female_BD: 90 images found Folder 9_dog-female_BD: 810 steps Folder 9_lizard-male_BD: 86 images found Folder 9_lizard-male_BD: 774 steps Folder 9_shark_male_BD: 89 images found Folder 9_shark_male_BD: 801 steps max_train_steps = 108081 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\100_wereanimal" --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=200 --output_name="7_wereanimal_1v5_768_0001BD5e_NR128NA128off" --lr_scheduler_num_cycles="3" --learning_rate="0.0001" --lr_scheduler="constant" --train_batch_size="1" --max_train_steps="108081" --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
Increased species and resolution compared to version 1.0
When using common species such as dogs tiger, cat......, you only need to add the species name without necessarily using a trigger word.
However, using a trigger word can more accurately call up specific data such as gender, caterpillars......
There are the following species:
-- were_\(dog\), were_\(male-dog\), were_\(female-dog\),weredog, dog,
--were_\(bird\), were_\(male-bird\), were_\(female-bird\), werebird, bird,
-- were_\(lizard\), were_\(male-lizard\), were_\(female-lizard\),werelizard, lizard,
--were_\(shark\),Same as above.......
--were_\(cat\),Same as above.......
--were_\(wolf\),Same as above.......
--were_\(tiger\),Same as above.......
--were_\(fox\),Same as above.......
--were_\(salamander\),Same as above.......
--were_\(lion\),Same as above.......
--were_\(mouse\),Same as above.......
--were_\(rabbit\),Same as above.......
--were_\(frog\),Same as above.......
--were_\(ox\),Same as above.......
--were_\(Chimpanzees\),Same as above.......
--were_\(horse\),Same as above.......
--were_\(weasel\),Same as above.......
--were_\(Caterpillar\),Same as above.......
--were_\(deer\),Same as above.......
--were_\(pig\),Same as above.......
--were_\(sloth\),Same as above.......