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Samara - Wet Nightmares - Character - ANIMA

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bf16 SafeTensor

char-WN-samara-v0.5.safetensors

BF16, good balance • 54.8 MB

Verified:

Type
LoRA
Stats

43

0

Generation

Not loaded

Reviews
Published

Oct 2, 2026

Base Model

Anima

Hash
AutoV2
B66E4BEA37
Trigger Words
samara
samara, colored skin, green skin, black hair, very long hair, hair between eyes, blue eyes, black sclera
black choker, red ribbed sweater, sleeves past wrists, black nail polish, red pleated skirt, black thighhighs, lace-trimmed thighhighs, boots
black choker, black shirt, long sleeves, sleeves past wrists, black nail polish, red pleated skirt, black thighhighs, lace-trimmed thighhighs, boots
default creator card background decoration
Followers - 92

92

Likes - 599

599

License:

Anima

The Anima Model is licensed by CircleStone Labs LLC. Copyright CircleStone Labs LLC. IN NO EVENT SHALL CIRCLESTONE LABS LLC BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.

Built on NVIDIA Cosmos

c_00057_.png

About

LoRA of Samara from game Wet Nightmares.

Hope you like it. Follow for more. Have fun!

Usage

  • v0.5:
    appearance: samara, colored skin, green skin, black hair, very long hair, hair between eyes, blue eyes, black sclera
    base outfit: black choker, red ribbed sweater, sleeves past wrists, black nail polish, red pleated skirt, black thighhighs, lace-trimmed thighhighs, boots

  • alter outfit: replace "red ribbed sweater" with "black shirt, long sleeves"

  • optionally: glowing eyes, layered legwear, fishnet thighhighs

  • style things: 3d background, mixed media

Versions

In-game: "In-game" versions trained on game screenshots.

  • v0.5: Trained on 42 game CGs + 18 regular images (basic + CGs without Samara).
    Sorry, I completely forgot to delete her "natural" tags (like green skin, blue eyes, black hair and etc.) so model poorly absorbed girl's characteristics into trigger samara. But it still generates fine results with enough tags.