wereanimal_2.0
详情
| 模型类型 | LORA |
| 基础模型 | SD 1.5 |
| 发布时间 | 4/5/2023 |
| 训练词汇 | werenaimal 已复制! werecreature 已复制! Humanoid 已复制! weredog 已复制! weresloth 已复制! weredeer 已复制! werebird 已复制! werelizard 已复制! wereshark 已复制! werecat 已复制! werewolf 已复制! weretiger 已复制! werefox 已复制! wereAxolotl 已复制! werelion 已复制! weremouse 已复制! wererabbit 已复制! werefrog 已复制! werepanthers 已复制! wereSideburns 已复制! weresheep 已复制! wereraccoon 已复制! werebear 已复制! weresnake 已复制! werehorse 已复制! wereCaterpillar 已复制! werepig 已复制! wereLeopard 已复制! |
关于此版本
相较于1.0版本,物种种类和分辨率均有所提升
当使用常见的物种如狗、老虎、猫等时,您只需添加物种名称,无需一定使用触发词。
然而,使用触发词能更准确地调用特定数据,例如性别、毛毛虫等。
以下是支持的物种:
-- werewolf(dog),werewolf(male-dog),werewolf(female-dog),weredog,dog,
-- werewolf(bird),werewolf(male-bird),werewolf(female-bird),werebird,bird,
-- werewolf(lizard),werewolf(male-lizard),werewolf(female-lizard),werelizard,lizard,
-- werewolf(shark),其余与上相同......
-- werewolf(cat),其余与上相同......
-- werewolf(wolf),其余与上相同......
-- werewolf(tiger),其余与上相同......
-- werewolf(fox),其余与上相同......
-- werewolf(salamander),其余与上相同......
-- werewolf(lion),其余与上相同......
-- werewolf(mouse),其余与上相同......
-- werewolf(rabbit),其余与上相同......
-- werewolf(frog),其余与上相同......
-- werewolf(ox),其余与上相同......
-- werewolf(Chimpanzees),其余与上相同......
-- werewolf(horse),其余与上相同......
-- werewolf(weasel),其余与上相同......
-- werewolf(Caterpillar),其余与上相同......
-- werewolf(deer),其余与上相同......
-- werewolf(pig),其余与上相同......
-- werewolf(sloth),其余与上相同......
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
以下为训练器命令参考,不会被执行:
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
模型描述
似乎第一个版本:wereanimal_1.0 已从网站上移除。
这是一个动物人形化的 LORA。
将权重设置为 0.2-0.8 会获得更好的效果。
使用以下 Checkpoints 模型可以获得更稳定的表现:
/model/11718/dungeons-n-waifus-new-version-22
- 你也可以结合任何真实动物的 Rola 模块,以获得更真实的视觉效果。
- 使用姿态控制器可以显著提高成功率。
如果你能与我分享使用此模块创作的作品,我将不胜感激!




















