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Core :: bvga Style

19.6k

Updated: Jul 10, 2026

styleanime

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1 variant available

SafeTensor

396.54 MB

Verified:

Type
LoRA
Stats

798

9.3K

16.7K

Reviews
Published

May 16, 2026

Base Model

Anima

Training
Steps: 2,400
Epochs: 3
Usage Tips
Strength: 0.7
Hash
AutoV2
FE53C65EBC
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Followers - 3910

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Downloads - 3056

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Chromaspiral

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

Cover2.png

This is my personal-use style LoRA that I created so I wouldn't need an 8-style-LoRA stack to get the style I liked. With the release of Anima it's even more important to me, as it's the only way I'm able to transfer that style over (and seems to work pretty well at doing that!).

My aim with this is to address the generic-looking oversaturated, flat, glossy, and plastic look of the anime checkpoint models. It does that in a number of ways, such as improving textures, depth of field, and lighting, with a painterly and semi-realistic feel.

Anima version notes:

No LoRA trigger tag is needed.

Has a bit of an issue with fingers (and blurry features at a distance) under certain situations, which I'm currently attempting to address with the next version.

Illustrious version notes:

My intention was to have a single LoRA that both strongly captured that style while being cleaner and more flexible to use. But after weeks of experimentation, I've come to the conclusion that I need to split this into 2 separate LoRAs.

Comparison Chart:

v2.0 is a typically trained style LoRA, which has a softer style and doesn't alter prompt understanding, ideal for flexible use and mixing with other style LoRAs.
(v2.0 is what most people will want to use)

v1.0 is an intentionally "overtrained" model that aims to capture that style as strongly as possible, at the expense of prompt sensitivity. As a result, with v1.0 you'll need to experiment with prompt weights, e.g. (character name:1.3).
(v1.0 was also an experimental proof of concept, so the quality of the dataset wasn't perfect.)