<h2 id="guidance:">Guidance:</h2><ul><li>This lora can be used with the t2v or i2v Wan2.2 Models.</li><li>In the "About this version" section you can find a list of the most frequent nouns and verbs in the training set.</li><li>If the dynamic effect does not work well, consider increasing the high-noise LORA; if there is contamination to other detail-enhancing LORAs, try lowering the low-noise LORA.</li></ul><h3 id="preview-image-prompt:">Preview Image Prompt:</h3><ul><li>I will mark prompts in the relevant preview images for your reference. </li></ul><h3>说明：</h3><ul><li>这个lora可使用在Wan2.2的t2v或是i2v模型。</li><li>在"About this version"部分，你可以看到训练集中频率最高的名词与动词清单。</li><li>如果没有动态效果不好使，可以考虑增加高噪LORA；如果对其他细节增强型 LORA 造成污染，请尝试降低低噪LORA。</li></ul><h3>预览图提示词：</h3><ul><li>我会在各预览图中标记使用的提示词，作为参考使用。</li></ul>

Skinsuit 皮物 皮モノ for Wan2.2 (i2v and t2v)

The 15 most frequent nouns in the dataset:<ul><li>skinsuit - 134 times</li><li>skin - 95 times</li><li>shell - 72 times</li><li>face - 48 times</li><li>man - 45 times</li><li>dress - 42 times</li><li>eyes - 38 times</li><li>head - 35 times</li><li>interior - 32 times</li><li>wrinkles - 30 times</li><li>folds - 28 times</li><li>body - 26 times</li><li>room - 25 times</li><li>floor - 24 times</li><li>tension - 22 times</li></ul>The 15 most frequent verbs in the dataset:<ul><li>wearing - 48 times</li><li>collapsing - 42 times</li><li>pulling - 35 times</li><li>revealing - 32 times</li><li>stretching - 30 times</li><li>entering - 25 times</li><li>showing - 24 times</li><li>pushing - 20 times</li><li>emerging - 18 times</li><li>deflating - 16 times</li><li>flattened - 15 times</li><li>holding - 14 times</li><li>peeling - 12 times</li><li>retracting - 10 times</li><li>disappearing - 9 times</li></ul>

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