<h1 id="monochrome-cyberpunk-style-lora-flux-1.d-y40gkqe30">Monochrome Cyberpunk style LoRa Flux 1.D</h1>Trigger words: cybermono_stylePrompt Examples:cybermono_style, &lt;subject&gt; masterpiece, best quality, very aesthetic, absurdrescybermono_style , (&lt;subject&gt; :1.3)also: cyber, cyberpunk, cyborg, black and white digital drawing, manga!! (LoRa is not very flexible, so you need to increase the weight of your subject hints as in the example) !!All preview image generated with this prompts.Weights: (0.5-1.2)**Tested on:ComfyUI + (model) Flux1-dev.sftForge + (model) Flux-dev-FP8**<hr />Training Settings:Kohya_SS (Local Training)Dataset = 16 imageEpoch = 16Training Steps = 2560Optimizer = AdamW8bitLR = 8e-4

ishin_CyberMono_style_FLUX

ishin_cybermono_style.safetensors

v1.0

Monochrome Cyberpunk style LoRa Flux 1.DTrigger words:&nbsp;cybermono_stylePrompt Examples:cybermono_style, &lt;subject&gt; masterpiece, best quality, very aesthetic, absurdrescybermono_style , (&lt;subject&gt; :1.3)also: cyber, cyberpunk, cyborg, black and white digital drawing, manga!!&nbsp;(LoRa is not very flexible, so you need to increase the weight of your subject hints as in the example)&nbsp;!!All preview image generated with this prompts.Weights: (0.5-1.2)**Tested on:ComfyUI + (model) Flux1-dev.sftForge + (model) Flux-dev-FP8**Training Settings:Kohya_SS (Local Training)Dataset = 16 imageEpoch = 16Training Steps = 2560Optimizer = AdamW8bitLR = 8e-4

ishin_cybermono_style

Monochrome Cyberpunk style LoRa Flux 1.D

Trigger words: cybermono_style

Prompt Examples:

cybermono_style, <subject> masterpiece, best quality, very aesthetic, absurdres

cybermono_style , (<subject> :1.3)

also: cyber, cyberpunk, cyborg, black and white digital drawing, manga

!! (LoRa is not very flexible, so you need to increase the weight of your subject hints as in the example) !!

All preview image generated with this prompts.

Weights: (0.5-1.2)

**Tested on:

ComfyUI + (model) Flux1-dev.sft

Forge + (model) Flux-dev-FP8**

Training Settings:

Kohya_SS (Local Training)

Dataset = 16 image

Epoch = 16

Training Steps = 2560

Optimizer = AdamW8bit

LR = 8e-4

Files with SHA256: e654991c41f9f59ef1ea77677fddf30d4abc65707e6cbfa7aecf133deb955fa5