<hr /><h2 id="description"><strong>Description</strong></h2><h3 id="regarding-the-combined-use-of-multiple-loras"><span style="color:rgb(230, 73, 128)"><strong>Regarding the combined use of multiple LoRAs</strong></span></h3><p>Since my LoRAs have some fixed datasets as anchor points during training, errors may occur when multiple LoRAs are used together with their weights all set to 1.0. Therefore, I suggest keeping the total weight of LoRAs for the Q7 style <span style="color:rgb(250, 82, 82)">not exceeding 1.4.</span> For example: <code>&lt;lora:q7-apple_ass-0402-v1:0.7&gt;, &lt;lora:q7-sexy-0401-v2:0.7&gt;</code>. Of course, the closer the total is to 1.0, the more stable it will be. You are free to adjust the weights based on your preference.</p><p></p><h3 id="about-lora-q7-sexy_clothes-0401-v2">About lora q7-sexy_clothes-0401-v2</h3><p>This LoRA was trained using several popular fashion styles from the Chinese internet, with detailed prompt annotations included in the images. You can check the prompts to see exactly what clothing items are featured (there are too many to list). Additionally, I've intensified the training specifically for the MILF aesthetic—you may notice frequent appearances of thicc thighs, voluptuous hips, and large breasts. <span style="color:rgb(250, 82, 82)">Download with caution if that's not your preference.</span></p><p><span style="color:rgb(76, 110, 245)">Although I trained this LoRA primarily with a focus on clothing, that doesn't mean I neglected attractive facial features, great body proportions, or other details.</span></p><p></p><h3 id="about-lora-q7-huge_ass-0402-v1">About lora q7-huge_ass-0402-v1</h3><p>This LoRA also uses source material collected from the internet. Any content involving portrait rights has been reviewed and handled to ensure that no legal risks or related issues arise. If you have questions about where the faces come from, please do not ask. (To be honest, the faces actually come from a 3D character I created in HS2, then repeatedly redrawn into a realistic style to form the dataset. I have also been struggling with how to further improve the dataset quality.)</p><p>This LoRA is very easy to use. Simply add the trigger words <span style="color:rgb(190, 75, 219)"><strong>huge ass, thick thigh</strong></span></p><hr /><h2 id="side-note"><strong>Side note</strong></h2><p>My skills have improved once again through this training session, but unfortunately, my inspiration has run dry once more. Quite depressing, really. Feel free to leave me comments about what you'd like to see!</p><hr /><h2 id="for-best-results"><strong>For best results</strong></h2><p>These images were trained and generated using the ILL-V2 base model. Generally speaking, you shouldn't encounter issues with newer ILL models—the results should only improve.</p><hr /><h2 id="regarding-outfits"><strong>Regarding outfits</strong></h2><p>You don't need to strictly adhere to specific style combinations; feel free to experiment with mixing and matching.</p><hr /><h2 id="prompt-ideas-for-clothing-combinations"><strong>Prompt Ideas for Clothing Combinations</strong></h2><p>Each line below represents a complete outfit combination. <span style="color:rgb(250, 82, 82)">I recommend reviewing or translating them so you can mix and match flexibly.</span><br />If you simply want to use the facial features, remember to add the prompt tag "<span style="color:rgb(190, 75, 219)">milf</span>".</p><p></p><pre><code>thick thighs,white top,turtleneck,sleeveless,jean shorts,midriff,</code></pre><pre><code>latex halter dress,shiny clothes,</code></pre><pre><code>floral print dress,strap dress,cleavage,</code></pre><pre><code>off-shoulder dress,bare shoulders dress,</code></pre><pre><code>red lace top,thick thighs,leopard print skirt,black pantyhose,long sleeves, cleavage,</code></pre><pre><code>sleeveless,turtleneck,deep blue top,thick thighs,black latex skirt,black pantyhose,</code></pre><pre><code>sheer shoulders,black shirt,long sleeves,see-through cleavage,</code></pre><hr /><p></p>

q7's MILF style LoRA

<p>完成日期2026年4月2日，使用训练参数 q7-apple_ass-0402-v1</p>

Files with SHA256: 0f05d78294e1d9b8638c0a6d0651809954dffcf8dea0e44dd3e1eb2ae72ea6ce