<h2 id="nextdoorasian-for-illustrious-xl">NextDoorAsian for Illustrious-XL</h2>A highly flexible, photorealistic character LoRA trained on a high-quality dataset of 32 images. This model was specifically tuned to avoid the common "sharp/long face" distortion often found in Illustrious-XL trains, maintaining a natural, slightly rounded facial geometry.<h3 id="recommended-settings:">Recommended Settings:</h3><ul><li>Trigger Word: <code>NB420gir1</code></li><li>LoRA Weight: <code>0.8 - 1.0</code><ul><li>Pro-tip: Use 0.8 for complex outfits (like armor) to allow the base model's creativity to shine.</li></ul></li><li>Base Model: Illustrious-XL v2.0</li></ul><h3 id="prompting-tips:">Prompting Tips:</h3>Since this is built on Illustrious, always include the quality anchors for best results:<ul><li>Positive: <code>1girl, NB420gir1, [your prompt], masterpiece, best quality, very aesthetic, newest</code></li><li>Negative: <code>worst quality, low quality, lowres, bad anatomy, bad hands, missing fingers, extra digits, fewer digits, jpeg artifacts, signature, watermark, username, text, multiple views, displeasing, very displeasing, monochrome, greyscale, sketch, comic, crowd</code></li></ul>This model is capable of handling complex backgrounds and dynamic lighting without "cloning" the character into the environment. Enjoy!

NextDoorAsian

Version Notes / Release NotesInitial Release (V1.0)<ul><li>Tuned for Realism: Specifically trained to override the Illustrious-XL "anime tilt," allowing for realistic skin textures and natural facial proportions.</li><li>Geometry Correction: Balanced Weight Decay and Alpha settings used during training to prevent the "long face/sharp chin" distortion common in XL character models.</li><li>High Flexibility: Tested across multiple styles—handles complex outfits (like armor and streetwear) and environmental lighting changes with ease.</li><li>Dataset: Trained on 32 high-resolution, hand-tagged photos with a Rank 64/Alpha 32 configuration for deep identity retention.</li></ul>

Files with SHA256: 8749a85baff9e3861074806dfc6c0e9eb7cd0a311a84e440288a904facf04800