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Princess Pride (Mega Man Battle Network)

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bf16 SafeTensor

Princess_Pride_(Mega_Man_Battle_Network)Ani.safetensors

BF16, good balance • 33.14 MB

Verified:

Type
LoRA
Stats

100

32

80

Reviews
Published

Aug 21, 2026

Base Model

Anima

Training
Epochs: 12
Usage Tips
Strength: 1
Hash
AutoV2
0D97B8ACEC
Trigger Words
prncssprdan1, blonde hair, long hair, crown, blue eyes, bags under eyes, white dress, short sleeves, puffy sleeves, white gloves, elbow gloves, white pantyhose, white footwear, heels
prncssprdan1, blonde hair, long hair, brown hat, cabbie hat, blue eyes, white shirt, short sleeves, white gloves, straps, overall skirt, buttons, striped shorts, puffy shorts, ribbed pantyhose, white pantyhose, cross-laced footwear, knee boots, lace-up boots, brown footwear
default creator card background decoration
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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

00008-737593382.png

Princess Pride makes her first appearance in Mega Man Battle Network 2. She is the princess of Creamland, one of the first countries to go online. She starts out as a villain, defeated by Lan. By Mega Man Battle Network 5, Princess Pride has turned over a new leaf. She is now trying to bring Creamland back to its former glory and helps Lan in the battle against Nebula.

Usage notes for different versions:

Anima: The dataset is almost identical to the illustrious one, with a total of 3 new images added and old ones upscaled and resized. The princess attire may generate her with a crown even if not prompted for. Add "crown" to negative prompts if you wish her not to wear one.
Illustrious: The dataset contains images of her in the princess attire and the incognito commoner outfit. You can tag for either one, although the princess outfit had some problems generating fingers properly. No idea why as the dataset had decent quality fingers on all the pictures...

Hope you like the lora! :)