V2:

( all samples upscaled by x1.5 with ciax200K)

Instead of tags, V2 was trained exclusively using natural language captions. The captions were written to capture as much visible skin detail as possible, allowing the LoRA to better understand realistic facial and body features.

V2 focuses on producing a more realistic appearance, especially when prompted for:

• Natural skin texture

• Shiny or oiled skin

• Skin imperfections (only when explicitly prompted)

The dataset also includes a limited number of high-resolution, high-quality backgrounds, although environmental rendering is not the primary focus of this LoRA.

For the best results, prompting using natural language is highly encouraged.

This project aim to explores the limits of realistic rendering with Anima. Results may vary depending on the checkpoint and prompt.

(i don't use ADetailer or any face enhancer)

trigger word: @lifi_RL

Recommended strength: 1.0

V1:

it's aim is to provide more warmer color and lighting on realistic models. On anime-oriented checkpoints such as Janima it tends to push the output toward a semi-realistic aesthetic.
The result highly depend on which checkpoint you use.

Not tested alongside other style Lora so compatibility and results may vary.

trigger word: lifi_rla

Recommended strength: 0.8/1.0