description: <p><strong><span style="color:#868e96">这次的Lora模型是训练生成任意白色背景的单体物体，包含</span><u><span style="color:#fa5252">人物、动物、工业产品、电子产品、家具、玩具模型</span></u><span style="color:#868e96">等，目的是能够根据需求利用该Lora能更加稳定的</span><u><span style="color:#fa5252">生成纯白背景的物体图片，方便我们进行后期处理</span></u><span style="color:#868e96">。初期测试，该lora模型特别适配</span><u><span style="color:#fa5252">lyriel系列大模型</span></u><span style="color:#868e96">，其他2.5d和3d风格base模型可能要增加相匹配的Prompt和调整图片尺寸。</span></strong></p><p><strong><span style="color:#868e96">目前对一些2d基础大模型适配情况一般，这个可能是由于我训练的素材基本都是真实的3d物体图片。后期可增加对应的2d风格的图片进行优化训练，希望大家可以尝试用一下此Lora，如果能提出您的建议和实验结果可以分享出来，我这边进行改进，谢谢！</span></strong></p><p><br /><strong><span style="color:#868e96">This LoRA model has been trained to generate individual objects with a pure white background, including </span><u><span style="color:#868e96">people, animals, industrial products, electronic devices, furniture, toy models</span></u><span style="color:#868e96">, and more. </span><u><span style="color:#fa5252">Its purpose is to provide a stable generation of object images with a white background, facilitating post-processing tasks according to specific requirements.</span></u><span style="color:#868e96"> In initial testing, this LoRA model has shown particularly good compatibility with the</span><u><span style="color:#fa5252"> Lyriel </span></u><span style="color:#868e96">series of large models. However, for other </span><em><u><span style="color:#868e96">2.5D and 3D style base models</span></u></em><span style="color:#868e96">, it may be necessary to adjust the matching prompts and image sizes accordingly.</span></strong></p><p><strong><span style="color:#868e96"> Currently, the adaptation of certain 2D base models is average, possibly due to the fact that the training dataset primarily consisted of real 3D object images. To improve this, I plan to include optimized training using 2D style images in the future. I encourage you to try out this LoRA model, and if you have any suggestions or experimental results to share, I would be grateful to receive them for further improvement. Thank you!</span></strong></p>
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