ytpvc672XLF-012XL

<p>ytpvc672XLF-012</p><p>可生成PVC材质的人物图像</p><p>起手式:PVC,3D</p><p>生成参数推荐:</p><p>采样方式:DPM++ 2M Karras</p><p>迭代步数:20到50之间</p><p>高分辨率修复开</p><p>重绘采样步数:20到30之间</p><p>重绘幅度:0.5</p><p>放大算法:R-ESRGAN 4x+ Anime6B</p><p>放大倍率:1.5</p><p>宽度:768</p><p>高度:960</p><p>ADetailer启用(要开)</p><p>ADetailer model: mediapipe_face_full</p><p>负面提示词按照示例图</p><p>模型用途声明</p><p>1. 你不得将此模型及其衍生版本（如融合模型版本）托管于计划赚取收入或捐赠的网站/应用程序。如果您需要将此模型及其衍生版本用于商业目的（如生成式服务、售卖图片、将图片用于公开发表到短视频平台的文章或出版物等等），请通过站内联系本人</p><p>2. 您不得直接售卖由此模型生成的图片，除非您对该图片进行了足够程度的人工修改，使其在法律意义上可以被完全判定为您的个人作品。如果您违反本条，所造成的一切法律后果由您个人承担，请恕本人概不负责。</p><p>3. 您不能使用该模型故意制作或共享非法或有害的内容传播和输出，请您遵守公序良德，将此模型用于积极正面的用途。</p><p>English:</p><p>ytpvc672XLF-012</p><p>Can generate PVC material character image</p><p>Hand type: PVC, 3D</p><p>Generate Parameter Recommendations:</p><p>Sampling mode: DPM + + 2M Karras</p><p>Number of iteration steps: Between 20 and 50</p><p>High Resolution Repair Development</p><p>Redraw sample steps: Between 20 and 30</p><p>Redraw amplitude: 0.5</p><p>Amplification algorithm: R-ESRGAN 4x + Anime6B</p><p>Magnification: 1.5</p><p>Width: 768</p><p>Height: 960</p><p>ADetailer Enabled (To be On)</p><p>ADetailer model: mediapipe_face_full</p><p>Negative cue words follow the example figure</p><p>Model Usage Declaration</p><p>1. You may not host this model and its derivative versions (e.g. Fusion Model versions) on websites/applications that plan to earn revenue or contribute. If you need to use this model and its derivatives for commercial purposes, (e.g., generative services, sale of images, use of images for articles or publications published to short video platforms, etc.), Please contact me via the station</p><p>2. You may not directly sell an image generated by this model unless you have manually modified the image to a sufficient degree to make it your own work legally. If you violate this article, you will be held responsible for all legal consequences, and I will not be held responsible.</p><p>3. You cannot use this model to intentionally create or share illegal or harmful content dissemination and output. Please use this model for positive and positive purposes.</p>