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Rita — 2.5D Realism

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fp16 SafeTensor

Rita_V3_HassakuXLIllustrious.safetensors

Half precision, best balance • 377.33 MB

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Type
LoRA
Stats

59

12

1

Generation

Loaded

Reviews
Published

Oct 4, 2026

Base Model

Illustrious

Training
Steps: 1,400
Epochs: 20
Usage Tips
Strength: 0.8
Hash
AutoV2
22C6AC6F47
Trigger Words
Rita
default creator card background decoration
Followers - 24

24

Likes - 118

118

Rita_20261004_112213_348992477.png

Rita — 2.5D Realism

So, this is my Rita LoRA, trained with the goal of pushing Rita towards a 2.5D realistic/semi-realistic appearance rather than keeping her purely in the usual anime style.

The main focus of this LoRA was realistic character rendering, especially the combination of anime-inspired facial features with more realistic skin, hair, lighting, and fabric materials.

The idea was basically:

Rita → anime character → realistic 2.5D interpretation

while still preserving her recognizable facial features, hairstyle, eye color, and overall character identity.

Trigger Word

Rita

Around 0.7–0.9 is a good starting point.

Lower weights can give you a more natural 2.5D interpretation, while higher weights will push Rita's characteristic features and overall rendering style more strongly.

Base Model

HassakuXLIllustrious

masterpiece, 8k, 2.5D fabric, realistic fabric details,
realistic lighting, highly detailed face, highly detailed eyes,
highly detailed, individual hair strands

A few things about the LoRA

This LoRA was trained with 2.5D realism as the primary goal, so the result is intentionally different from a purely anime-style interpretation of Rita.

It works particularly well when combined with prompts describing the clothing, materials, lighting, environment and pose, allowing the LoRA to demonstrate the realistic rendering it was trained for.

The fabric rendering is also an important part of the intended look. Details such as lace, satin, velvet, embroidery and garment construction can help bring out the 2.5D aesthetic.

I recommend experimenting with the LoRA weight depending on the checkpoint you're using. 0.7–0.9 is a good general range, but some models may produce better results with slightly lower or higher weights.

Have fun with it.