Models

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Gacha splash LORA

[(white background:1.5)::5], isometric,
1 girl, mid shot, full body, 
supermarket, 
<lora:Gacha Splash fantasy 2.0:0.9>
[(white background:1.5)::5], isometric, 1 girl, mid shot, full body, supermarket, <lora:Gacha Splash fantasy 2.0:0.9>
[(white background:1.5)::5], hexagon,
1 girl, mid shot, full body, 
butterflies, flowers,floating petal,stone fragment,  beautiful detailed water,cloud,sun,dusk,sunset,beautiful detailed gate,
[(white background:1.5)::5], hexagon, 1 girl, mid shot, full body, butterflies, flowers,floating petal,stone fragment, beautiful detailed water,cloud,sun,dusk,sunset,beautiful detailed gate,
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* This model is available for use and will generate similar character to the ones seen in the images.

Model Description by Creator

The training dataset is 100% generated by NovelAI. No real artwork is used.

Checkout my Alter version, which uses real artwork: https://civitai.com/models/85859/gacha-splash-alter


3.0 version is released. I rebuilt the entire training set for this version.

Notes:

  1. Use hires fix + SD upscale or MultiDiffusion to get better face details.

  2. Try adding wood, stone in negative prompt if you see too many woods, stones, structures. You may also emphasize it. For example, the bottle keeps getting transformed into structures till I add wood, stone.

A 2.0 version is released:

A gacha splash style lora. Make sure you start with the following template and add your background prompts.

[(white background:1.5)::5], isometric OR hexagon , 1 girl, mid shot, full body, <add your background prompts here>

Suggested resolution: 640X640 with hires fix. You may modify your prompt and resolution after successfully getting the effect.

I trained two different versions with different learning rate and scheduler.

Gacha Splash Fantasy fits more in abstract backgrounds.

Gacha Splash is intentionally trained to be slightly overfit. It fits greatly for architectures.

See compares from sample images

Notes:

1. If your characters are always wearing jackets/half off jackets, try adding "off shoulder" in negative prompt. You may further add "jackets"/ "bare shoulders" if the issue persists.

2. Similar as the jacket issue, if you find any elements that are always being generated, try adding them into negative prompt first. The training dataset is well tagged. Therefore AI should be able to remove these elements.

Prompts like hexagon and isometric help to shape the gacha splash effect. There are some alternative choices.

Images Generated With This Model

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