Tutu’s sexy uniform (Dimension Radio x Latex Clothing PU Nun Uniform)

Tutu’s sexy uniform (Dimension Radio x Latex Clothing PU Nun Uniform)/图图的情趣制服（次元电台X乳胶衣PU修女服） https://civitai.com/models/257218

A friend sent me this and asked me if I should try it because it looked pretty good (a friend out of nowhere), so I tried it. I originally planned to buy it to shoot a video, but I got lazy and didn’t make it, so I made a LORA.

Insisting on high-quality LORA production, this LORA is also produced using difference extraction method + real shooting, and the effect is very good when used together with other LORA.

Recently, a lot of optimizations have been done to the entire algorithm and production methods.

However, for this model, the weight can be set smaller. Generally, 0.6 can have a better effect, and there is no need to make it too large.

For ease of use, all the LORA trigger words I create in the future will be tutututu, four tu.

For this LORA, in order to ensure a high degree of restoration, it is recommended to write in the prompt word:

tutututu, (nun), (cross necklace), latex bodysuit, shiny clothes, skin tight, habit, latex gloves, black bodysuit,thigh boots,

All kinds of large models are very friendly, especially good at 2.5D and two-dimensional.

Instructions:

1. Make sure you use LORA correctly.

2. It is recommended that the number of CLIP termination layers be set to 2.

3. The weight depends on the needs. It can range from 0.4 to 0.9. It is recommended to start with 0.6.

4. The trigger words are: tutututu, (nun), (cross necklace), latex bodysuit, shiny clothes, skin tight, habit, latexgloves, blackbodysuit,thighboots,

5. Don’t add too many negatives, otherwise it will affect the effect of LORA.

6. The prompt word guidance coefficient (CFGScale) can be tried starting from 7.

If you encounter problems during use, you can leave me a message.

Looking forward to your work!

Looking forward to your work!

Looking forward to your work!

Hope you have a good time.

Thank you for your long-term trust and support.

statement:

1. You shall bear full responsibility for any creative works using this model.

2. You may not use this model to intentionally create or share illegal or harmful output or content, and avoid using this model for malicious, harmful, defamatory, fraudulent or political purposes.

3. If you use this model for commercial purposes, please inform me, thank you.

common problem:

1. What is differential extraction method?

As the name suggests, simply speaking, it is to extract the differences to make LORA. In the past, our general LORA was trained directly with pictures. In this way, the trained LORA would inevitably be contaminated by the base film and other environmental factors of the picture, so when producing the picture Sometimes it will have unexpected effects on the picture. The LORA produced by the differential extraction method will remove these contaminations. The LORA produced in this way will have almost no influence from factors other than the base film and the target elements. Therefore, even if the weight is set relatively high, the pollution to the picture will be very small. , the model quality will be much higher. The differential extraction method is more complex to make and requires more steps.

2. Why do you want to do this LORA?

Although there are many similar LORAs, I found that on the one hand, most of these LORAs are not very close to reality. Many of the more popular clothing at the moment are not available, and they are not realistic enough.

In addition, the quality is uneven. Many LORAs have a greater impact on the characters themselves and the graphics, making them inconvenient to use. So I plan to make a series of clothing LORA.

3. Why can’t I take photos like yours?

Everyone's computer configuration and operating environment are different, and the LORA and plug-in versions used, plug-in configurations, etc. will also be different, so please don't pursue the same photos and create your own perfect works!

4. How to get in touch?

If you have any need to customize LORA, or have other cooperation intentions, you can leave a message here directly, or contact Q331506796 (indicate your intention)

5. What optimizations have you made to the difference extraction method? Or are you just talking casually?

A: I have done a lot of optimization on the code involved. There are:

1. Automated model exploration: Automatically generate multiple fusion models from a set of models, similar to the automated process of parameter tuning or model selection, but focused on model fusion.

2. Difference analysis based on Euclidean distance: used to compare the weight differences of two LoRA (Low-RankAdaptation) models.

In dissimilarity analysis, Euclidean distance is used to quantify the difference between the weights of two models. Specifically:

Weight representation: The weight of each LoRA model can be regarded as a point in high-dimensional space. Each element of the weight corresponds to a dimension in the space.

Calculate the difference: By calculating the Euclidean distance between the corresponding weights of the two models, we can get a numerical value that represents the relative position difference of the two weights in the high-dimensional space.

Explain the difference: A larger Euclidean distance means the two models are more different in that weight; a smaller distance means they are more similar.

This difference analysis is used to guide model fusion decisions. For example, if two models differ greatly in a certain weight, this weight may need to be specially processed to ensure that the fused model can effectively combine the characteristics of the two original models.

These optimizations are completely based on my own materials. Because my materials have some special characteristics, they are not difference extraction in the traditional sense. There are some trade-offs.

by tututututuz