Stable Diffusion
KM MIX Byproduct Style Extraction Cute
model_id: kmmixbyproduct-styleextractioncute
<p>在模型融合时，我最不想发现自己融合的模型与别的模型相似，但我也想让你们知道我融合的结果和使用的素材，来验证我的提取实验。这很矛盾，因此我减少了混合次数以增加素材的辨识度，但这也导致混合的模型缺少差异性</p><p><strong>When it comes to model fusion, what I least want to discover is that the model I fused is similar to other models. However, I also want you to know the results of my fusion and the materials I used to validate my extraction experiment. This is contradictory, so I have reduced the number of mixings to increase the distinguishability of the materials, but this also leads to the lack of distinctiveness in the blended model.</strong></p><p><strong>Model：</strong><a target="_blank" rel="ugc" href="https://civitai.com/models/94726"><strong>https://civitai.com/models/94726</strong></a></p><p><strong>LORA：</strong><a target="_blank" rel="ugc" href="https://civitai.com/models/119625?modelVersionId=129992"><strong>https://civitai.com/models/119625?modelVersionId=129992</strong></a></p><p>我使用了一个特征模型做减免，你或许能理解这是什么意思</p><p><strong>I used a feature model for reduction, perhaps you can understand what this means.</strong></p>
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