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Spiralwash Eyes | Hypno spiral eyes | Kaa eyes

88.3k

Updated: Aug 25, 2026

concepthypnosiseyesinpainting

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1 variant available

bf16 SafeTensor

Kaa_eyes__ANI__v2_2_epoch_10.safetensors

BF16, good balance • 33.14 MB

Verified:

Type
LoRA
Stats

121

20

20

Reviews
Published

Aug 25, 2026

Base Model

Anima

Hash
AutoV2
A262A97811
Trigger Words
kaa eyes
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Followers - 155

155

Likes - 1641

1.6K

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

25-08-2026_00161_.png

XL/IL model that is trained on output images model Spiral-Only Eyes / Spiralwash Eyes - Hypnosis Concept LoRA.


Anima notes:

This version is the most successful in my opinion. It also works in text2image, but in my opinion, inpaint has a higher priority

Recommendations (ANI):

Denoising strength: 1 (0.75-0.9, without LLLIte inpaint)
Size: (1024x1024)
Strength: 1

IL UPDATE NOTES:

The model under IL turned out to be extremely situational.

Try Tensor art AI tool with this image2image lora: https://tensor.art/template/870531431695165739

Recommendations (IL):

Denoising strength: 0.7 (you can try values 0.5-0.8)
Size: (1024x1024)
Strength: 1 (0.8-1.3)
Token strength: 1.1 (1-1.3)


XL Notes:

It is recommended to use in inpaint mode manually, or using ADetailer.

Version 3 improved performance of Lora in text2img. But I recommend using hires. Added kee eyes token. If you use Lora, remove tokens like bad eyes, Error eyes from the Negative prompt.

Version 2 works better in text2img. But I recommend using hires

Version 1.0-g is trained on the upper parts of the body of characters from one very famous anime game. To avoid a strong influence on the character, I recommend using ADetailer.


To edit only the eyes, you can install this detector model Eyes detector.

Recommendations
Denoising strength: 0.6 (you can try values 0.5-0.8)
Size: (1024x1024)

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