KB Noir Ink | Male Graphic Novel Style - v1.0 - Epoch 6

KB Noir Ink | Male Graphic Novel Style

LORA
Original


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KB Noir Ink | Male Graphic Novel Style by Kalyna_Bloom on Tensor.Art
KB Noir Ink | Male Graphic Novel Style by Kalyna_Bloom on Tensor.Art
KB Noir Ink | Male Graphic Novel Style by Kalyna_Bloom on Tensor.Art
KB Noir Ink | Male Graphic Novel Style by Kalyna_Bloom on Tensor.Art

KB Noir Ink is a male-focused SDXL style LoRA for bold graphic-novel portraits and cinematic noir scenes. It creates semi-realistic masculine characters with expressive faces, strong ink linework, cross-hatched shading, deep black shadows, warm sepia and brown tones, glossy highlights, and dramatic colored rim lighting.

The LoRA was trained on varied male characters, skin tones, hairstyles, poses, camera angles, portraits, waist-up compositions, and full-body scenes. It works especially well for dark urban settings, suits, streetwear, action scenes, and morally grey male characters.

Trigger word: kbNoirInk

Recommended LoRA weight: 0.6–1.0 Suggested starting weight: 0.8

Recommended settings: Sampler: DPM++ 2M Karras. Sampling Steps: 25 for Standard users; 30–35 requires Pro. CFG Scale: 5–7.

Designed for SDXL-based models. Results may vary with checkpoints that use a strongly different visual style.

Version Detail

Trained by Tensor
SDXL 1.0
1800
6
KB Noir Ink is a male-focused SDXL style LoRA for bold graphic-novel portraits and cinematic noir scenes. It creates semi-realistic masculine characters with expressive faces, strong ink linework, cross-hatched shading, deep black shadows, warm sepia and brown tones, glossy highlights, and dramatic colored rim lighting. The LoRA was trained on varied male characters, skin tones, hairstyles, poses, camera angles, portraits, waist-up compositions, and full-body scenes. It works especially well for dark urban settings, suits, streetwear, action scenes, and morally grey male characters. Trigger word: kbNoirInk Recommended LoRA weight: 0.6–1.0 Suggested starting weight: 0.8 Designed for SDXL-based models. Results may vary with checkpoints that use a strongly different visual style.

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