wereanimal_2.0版本SD 1.5_2.0 (ID: 36869)

It seems that the first version: wereanimal_1.0 has been removed from the website.

This is a LORA for animal humanoid .

Setting the weight to 0.2-0.8 will result in better performance.

Using the following Checkpoints model will result in more stable performance:

https://civitai.com/models/11718/dungeons-n-waifus-new-version-22

https://civitai.com/models/6250/dosmix

https://civitai.com/models/6925/realdosmix

https://civitai.com/models/7371/rev-animated

-You can also incorporate the Rola module of any real animal to achieve a more realistic effect.

-Using the pose controller can significantly improve the success rate.

It would be great if you could share your works using this module with me!

描述:

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

训练词语: werenaimal,werecreature,Humanoid,weredog,weresloth,weredeer,werebird,werelizard,wereshark,werecat,werewolf,weretiger,werefox,wereAxolotl,werelion,weremouse,wererabbit,werefrog,werepanthers,wereSideburns,weresheep,wereraccoon,werebear,weresnake,werehorse,wereCaterpillar,werepig,wereLeopard