Overview "Delicate Balance" is my first LoRA model, designed to create images that blend semi-realistic and stylized elements, adding my touch to each piece. My goal with this model was to capture the way I personally process images, balancing between realism and anime-style influences. This LoRA model was trained on my past generated images, reflecting the nuanced style I've developed over time.Concept I often work with multiple LoRA models to achieve a desired aesthetic, selectively layering them to address specific defects in the image. For example, if I notice a defect in a realistic portrait, like a "butt chin", I incorporate anime-style LoRA models to offset or soften the issue. Conversely, if I'm working on an anime-style image with cluttered lines or loss of detail, I layer in more photographic or realism-oriented LoRA models to refine and enhance clarity. This approach creates images that subtly oscillate between anime and realism, resulting in a fusion of styles.Usage This model, "Delicate Balance," was trained on images I've previously generated, aiming to emulate my creative process. The recommended settings to get the best results are as follows:<ul><li>Distilled CFG Value: 5 – 6</li><li>LoRA Weight: 0.7 – 1.0</li><li>Steps: 30 – 40</li><li>Trigger Words: <code>del1cate_balance style</code></li></ul>For a variety of comparisons, I've uploaded sample images showcasing the effects of different LoRA weight settings, from no LoRA (weight 0) to progressive increments at 0.25, 0.5, 0.75, and 1.Remark Generally, this LoRA does not add new details to an image—it is not a detailer LoRA. Therefore, if the base image is quite simple, you might not see additional complexity or detail added by using this LoRA. However, for those open to experimenting, "Delicate Balance" can still provide stylistic enhancements. I'd appreciate any reviews, comments, or direct messages for discussion. Your feedback will help refine this model further and expand on its creative applications. Thank you for your interest!

Files with SHA256: cfd64afe7041b796684805cd4817c44fdb10762fbe7a4df57069af45ab746e48