Verified: 2 years ago
SafeTensor
Type | |
Stats | 1,612 0 |
Reviews | (305) |
Published | Apr 5, 2023 |
Base Model | |
Training | Steps: 72,054 Epochs: 2 |
Trigger Words | werenaimal werecreature Humanoid weredog weresloth weredeer werebird werelizard wereshark werecat +18 more |
Hash | AutoV2 E42FB23C99 |
LoRA (225.2 MB)
Verified: 2 years ago
SafeTensor
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
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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!