description: <p>我是社区的新手，欢迎大家随意使用。</p><p>这个Lora可以画出像素人物和场景，偏向于32x32和RPG像素游戏的风格。</p><p>Lora基于100张不同的32x32像素画在SD 1.5上训练，使用SD 1.5和Anything 4.5都有不错的结果。</p><p>I'm a newcomer to the community, and everyone is welcome to use my services freely.</p><p>Lora can draw pixel characters and scenes, with a style that leans towards 32x32 and RPG pixel games.</p><p>Lora is trained on 100 different 32x32 pixel drawings using SD 1.5, and has good results with both SD 1.5 and Anything 4.5.</p><p>我在Huggingface上传了不同epoch的结果，<a target="_blank" rel="ugc" href="https://huggingface.co/skyatmoon/MyPixelArtLora">https://huggingface.co/skyatmoon/MyPixelArtLora</a> , 欢迎参考下面的epoch-lora_weight图选择想要的风格和权重，一般情况下权重为1就可以了</p><p>I have uploaded results from different epochs on Huggingface, <a target="_blank" rel="ugc" href="https://huggingface.co/skyatmoon/MyPixelArtLora"><strong><u>https://huggingface.co/skyatmoon/MyPixelArtLora</u></strong></a>. Please refer to the epoch-lora_weight chart below to choose the desired style and weight. In general, a weight of 1 is sufficient.</p><img src="https://imagecache.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9046c6c6-521c-4a3b-f982-edc505b54b00/width=525/9046c6c6-521c-4a3b-f982-edc505b54b00.jpeg" /><p>使用不同的采样器在不同权重下结果差异较大，可以根据下面的Sampler-Weight图选择，一般使用DMP++ 2M Karras就可以了</p><p>Using different samplers at different weights can result in significant differences. Please refer to the Sampler-Weight chart below to choose the appropriate sampler. In general, using DMP++ 2M Karras should be sufficient.</p><img src="https://imagecache.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4eb96574-b62e-4959-9299-917211570c00/width=525/4eb96574-b62e-4959-9299-917211570c00.jpeg" /><p>Active Tag: basepixel</p>
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modelVersions.name: Basepixelv1.0
modelVersions.publishedAt: 2023-04-27T17:10:31.194Z
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name: Pixel Art style Lora
tags: anime pixel art style pixelart lora