[Flux-Style]Neurocore Painterly Fantasy
Back

[Flux-Style]Neurocore Painterly Fantasy
0 0 2

Illustration

[Flux-Style]Neurocore Painterly Fantasy

Important info for prompting:

Trigger is:"in the style of ckpf,"

Strength: 0.8 - 1.0 LOCAL GENERATION


Got minor issues with weapon holding and hands in testing. I recommend 0.8 strenght.


Prompting for FLUX:

All the prompts I used are included in the example images to get you going!

Images made with: Flux.dev

Sampling method: Euler

Sampling steps: 40

Distilled CFG Scale: 3.5 but you can experiment as well

Clipskip: 1

I am using Hires.fix with the following settings:

Upscaler: 4x-AnimeSharp
Hires steps: 10
Denoise: 0.20
Upscale by: 1.2x - 4.0x

This model is sourced from an external transfer (transfer address: https://civitai.com/models/1059859/painterly-fantasy-by-chronoknight-flux-and-il ）,if the original author has objections to this transfer, you can click，
Appeal
We will, within 24 hours, edit, delete, or transfer the model to the original author according to the original author's request

user_idjdrroz

user_idjdrroz

Illustration

Model Information

Model Type：
LoRA
Basic Model：
FLUX.1 D
Trigger Words：
in the style of ckpf

Important info for prompting:

Trigger is:"in the style of ckpf,"

Strength: 0.8 - 1.0 LOCAL GENERATION


Got minor issues with weapon holding and hands in testing. I recommend 0.8 strenght.


Prompting for FLUX:

All the prompts I used are included in the example images to get you going!

Images made with: Flux.dev

Sampling method: Euler

Sampling steps: 40

Distilled CFG Scale: 3.5 but you can experiment as well

Clipskip: 1

I am using Hires.fix with the following settings:

Upscaler: 4x-AnimeSharp
Hires steps: 10
Denoise: 0.20
Upscale by: 1.2x - 4.0x

This model is sourced from an external transfer (transfer address: https://civitai.com/models/1059859/painterly-fantasy-by-chronoknight-flux-and-il ）,if the original author has objections to this transfer, you can click，
Appeal
We will, within 24 hours, edit, delete, or transfer the model to the original author according to the original author's request