<p><em><span style="color:rgb(64, 192, 87)">The training of this model and the images it generates are solely for learning purposes.</span></em></p><p></p><p><strong><em><span style="color:rgb(64, 192, 87)">I did nothing, I'm just a porter.</span></em></strong></p><p></p><p>No need for trigger word.</p><p></p><p><em><span style="color:rgb(64, 192, 87)">You could find the example prompts from the images above.</span></em></p><p></p><p>Recommended weight: <em><span style="color:rgb(64, 192, 87)">1~0.6</span></em><span style="color:rgb(64, 192, 87)">, </span>adjust as needed until the character's appearance meets your requirements.</p><p></p><p>Upscale value recommendation is around 1.5, denoising strength is 0.2</p><p></p><p><em>Looking forward to your comments and images</em></p><p></p><h1 id="20240715-pbn8i5kse"><strong><em>20240715</em></strong></h1><p>The dataset was collected from the works of Vanillaware, including illustrations and game screenshots, but only includes the works of George Kamitani.</p><p></p><p>The performance of this version is not very good, the images it generates may often appear chaotic.</p><p></p><p>I collected 100+ images as a dataset, but the number is still too much for manual tagging. I initially used wd1.4 to annotate all the images, but the quality of the tagging is still no good, (maybe my usage is not correct enough, and I welcome everyone to make suggestions).</p><p></p><p>Because I want to see the results quickly, for this dataset, I only manually tagging some images that meet my personal preferences, so the model's output effect will be better for these images.</p><p></p><p>Therefore, this model can only be considered as v0.1, it is not very easy to use normally, and it is best to tagging more images in the dataset in detail for better results. In the future, I may slowly complete the training of this model.</p>
Public
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Success
2024-07-14T16:06:19.856Z
Model
Success
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v0.1
2024-07-14T16:04:25.340Z
Vanillaware George Kamitani Style PonyXL
vanillaware style george kamitani