Trained using 5,487 distinct styles of anime pixel images, this model will generate pixelated images in various styles at random. Enjoy the surprises!<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/50b5561f-b6d3-44ff-9b74-89ff58807a1a/width=525/50b5561f-b6d3-44ff-9b74-89ff58807a1a.jpeg" />TAG:<pre><code>pixel_art</code></pre>Training model: Animagine XL V3.1Inference model: Animagine XL V3.1Training resolution: 1024*1024--TAG:<pre><code>pixel_art</code></pre>Trained using 2827 images of various pixel art styles. Theoretically, it can generate random pixel art styles. Let's play Gacha and see what we get!使用2827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Please note that this model's content includes some covers that have been rated as PG-13/R/xxxPlease choose the appropriate age rating based on your needs.Training model: Animagine XL V3.1Inference model: Animagine XL V3.1Training resolution: 1024*1024Recommended output resolution: 1024*1280 /832*1216Recommended model weight: 0.8~1Discord : <a target="_blank" rel="ugc" href="https://discord.com/invite/CFpyHceF52">https://discord.com/invite/CFpyHceF52</a>Recommended dataset collection and processing tools: <a target="_blank" rel="ugc" href="https://github.com/deepghs/waifuc">https://github.com/deepghs/waifuc</a>Possibly the most user-friendly dataset processing UI currently in use.: <a target="_blank" rel="ugc" href="https://github.com/Eugeoter/sd-dataset-manag">https://github.com/Eugeoter/sd-dataset-manag</a>

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