description: <p>Trained using 5,487 distinct styles of anime pixel images, this model will generate pixelated images in various styles at random. Enjoy the surprises!</p><p><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/50b5561f-b6d3-44ff-9b74-89ff58807a1a/width=525/50b5561f-b6d3-44ff-9b74-89ff58807a1a.jpeg" /></p><p></p><p>TAG:</p><pre><code>pixel_art</code></pre><p>Training model: Animagine XL V3.1</p><p>Inference model: Animagine XL V3.1</p><p>Training resolution: 1024*1024</p><p>--</p><p>TAG:</p><pre><code>pixel_art</code></pre><p>Trained using <strong>2827 </strong>images of various pixel art styles. Theoretically, it can generate random pixel art styles. Let's play Gacha and see what we get!</p><p>使用<strong>2827</strong>张不同风格的像素风格的图片训练。理论上会随机生成不同风格的像素画风。来玩抽卡吧</p><p>Please note that this model's content includes some covers that have been rated as PG-13/R/xxx</p><p>Please choose the appropriate age rating based on your needs.</p><p>Training model: Animagine XL V3.1</p><p>Inference model: Animagine XL V3.1</p><p>Training resolution: 1024*1024</p><p>Recommended output resolution: 1024*1280 /832*1216</p><p>Recommended model weight: 0.8~1</p><p>Discord : <a target="_blank" rel="ugc" href="https://discord.com/invite/CFpyHceF52"><u>https://discord.com/invite/CFpyHceF52</u></a></p><p>Recommended dataset collection and processing tools: <a target="_blank" rel="ugc" href="https://github.com/deepghs/waifuc"><u>https://github.com/deepghs/waifuc</u></a></p><p>Possibly the most user-friendly dataset processing UI currently in use.: <a target="_blank" rel="ugc" href="https://github.com/Eugeoter/sd-dataset-manag"><u>https://github.com/Eugeoter/sd-dataset-manag</u></a></p>
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name: Pixel Art  像素艺术 XL
tags: anime pixel style