wanaata's flesh squat toilet and flesh urinal

My English is shit and I use a translation tool.

My English is shit and I use a translation tool.

My English is shit and I use a translation tool.

My English is shit and I use a translation tool.

Weighting:0.5-0.8

• ==Profile==

This Lora is used to generate a "flesh tool for public toilets", which uses 6000 images as a training set.

It is mainly used to generate [flesh squat toilet] and [flesh urinal], that is, "stuck in squat toilet or urinal".

This Lora is used to generate a "flesh tool for public toilets", which uses 6000 images as a training set.

It is mainly used to generate [flesh squat toilet] and [flesh urinal], that is, "stuck in squat toilet or urinal".

• ==Prompt and Negative Prompt==

In practice the [] symbol can be ignored, it is only used for easy identification [Prompt]

[wanaata]: Artist Style.

[flesh squat toilet]: A girl stuck in a squat toilet on the ground, can generate feet, or all limbs stuck in it.

[flesh urinal]: A girl stuck in a urinal on the wall.

[public restroom], [tiles], [red background], [indoors]: Used to describe the background, adding to Negative can adjust the background.

[stuck], [through wall]: Used to describe the state.

[multiple views]: Only used when the image size is [832x576] or similar, it will generate [pages], usually the left is [frontal view-upper body] and the right is [back view-lower body].

[upper body], [lower body], [full body]: Used to control the generated area. Note that "full body" does not generate a complete girl, but a "girl stuck in a squat toilet". It is also necessary to control which body parts will be stuck under the floor and which will be exposed through the degree of out of frame.

[out of frame], [feet out of frame]: Mainly used to control [flesh squat toilet].

[frontal view], [top view], [back view], [side view]: Control the viewing angle, you can use [frontal view, top view] or [frontal view, side view] at the same time to generate oblique angles.

In practice, the [] symbol can be ignored; it is only used for easy identification [Prompt].

[wanaata]: Artist Style.

[flesh squat toilet]: A girl stuck in a squat toilet on the ground, capable of generating feet or all limbs trapped inside.

[flesh urinal]: A girl stuck in a wall-mounted urinal.

[public restroom], [tiles], [red background], [indoors]: Used to describe the background; adding to Negative can adjust the background.

[stuck], [through wall]: Used to describe the state.

[multiple views]: Only used when the image size is [832x576] or similar; it will generate [pages], typically with the left side showing [frontal view-upper body] and the right side showing [back view-lower body].

[upper body], [lower body], [full body]: Used to control the generated area. Note that "full body" does not produce a complete girl, but a "girl stuck in a squat toilet". It is also necessary to control which body parts are buried under the floor and which are exposed based on how much is out of frame.

[out of frame], [feet out of frame]: Mainly used to control [flesh squat toilet].

[frontal view], [top view], [back view], [side view]: Control the viewing angle; you can simultaneously use [frontal view, top view] or [frontal view, side view] to generate oblique angles.

• ==Size and shape==

It only has three sizes in its training set, so it is suitable to use these resolutions to generate images of different content:

[576x832 and 576x896]: Used to generate individual images of "side", "top view", "front view", and other angles.

[832x576]: Used to generate "multiple views" of "front | back" under the premise of "through the wall" and "stuck", so the generated images are similar to "pages", with a dividing line in the center of the image.

It only has three sizes in its training set, so it is suitable to use these resolutions to generate images of different content:

[576x832 and 576x896]: Used to generate individual images of "side", "top view", "front view", and other angles.

[832x576]: Used to generate "multiple views" of "front | back" under the premise of "through the wall" and "stuck", so the generated images are similar to "pages", with a dividing line in the center of the image.

• =Not relevant to the content and can be ignored=

This Lora is used to generate "flesh tools in public toilets", using 6000 images as the training set.

In fact, I have prepared a total of 30,000 images as the training set, and spent 15 days manually processing these images. I plan to train a powerful NSFW Lora that can show strong impact.

But starting today, I will have to deal with the death of my relatives for the next half month, and I cannot use my computer. So I can only select part of the training images and train the 0.1 version with fewer [steps].

I look forward to you sharing the images generated using it, Bro, this can give me a lot of motivation!

And take care of yourself, wish you health, no matter where you are from.

This Lora is used to generate "flesh tools in public toilets", using 6000 images as the training set.

In fact, I have prepared a total of 30,000 images as the training set, and spent 15 days manually processing these images. I plan to train a powerful NSFW Lora that can show strong impact.

But starting today, I will have to deal with the death of my relatives for the next half month, and I cannot use my computer. So I can only select part of the training images and train the 0.1 version with fewer [steps].

I look forward to you sharing the images generated using it, Bro, this can give me a lot of motivation!

And take care of yourself, wish you health, no matter where you are from.

• =Training parameters, hope this helps you=

It uses SD1.5 as the base model, and the parameters for training are:

It uses SD1.5 as the base model, and the parameters for training are:

[batch size:2][epoch:20][Clip skip:1][steps:41370][learning rate:0.8][LR Scheduler:cosine with restarts][LR warmup:0][Optimizer:DAdaptation][Text Encoder learning rate:1][Unet learning rate:1][Dim/Alpha:128][Max resolution:768X768][LR number of cycles:40][Max Token Length:225][Shuffle caption][Noise offset:0.06]