<h1 id="ultraviolet-raver-concept-akali-kda-6fifoprrx">Ultraviolet Raver Concept - Akali K/DA</h1>This LoRA is intended to apply an ultraviolet luminiscent style to characters, with bodypaint and paint splatters.I've extended the dataset in following versions, including Hunyuan Video and Wan.ℹ️ LoRA work best when applied to the base models on which they are trained. Please read the About This Version on the appropriate base models and workflow/training information.Information below relates to the SDXL base model versions.<hr />Goal was create a generalised ultraviolet before/after concept that could be generally applied to any character/scene without much style bleed.Almost all works relating to this concept in the training data are based on the the League of Legends character Akali's appearance in the K/DA Pop/Stars video.So can expect much of her appeance, including the outfit details and bodypaint markings, to be replicated with this LoRA:<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7b3a28d4-d82d-4117-ac00-f14e8363f081/width=525/7b3a28d4-d82d-4117-ac00-f14e8363f081.jpeg" />This wasn't really the intention, and I used a regularisation dataset of Akali images (not ultraviolet) to try to narrow down the <code>ultraviolet</code> concept.The result seems to work pretty well with other characters as intended though, see it applied to other characters in the previews.Recommended prompt structure:Positive prompt:<pre><code>ultraviolet, ultraviolet light, paint splatter, bodypaint, glowing skin,
{{tags}},
black background, dark theme, backlighting</code></pre>Adetailer settings:Adetailer extension is used to automatically segment and upscale faces/hands/bodies as needed:<a target="_blank" rel="ugc" href="https://github.com/Bing-su/adetailer">--&gt; https://github.com/Bing-su/adetailer</a>I recommend default settings with <code>face_yolov8n.pt</code>and the inpaint denoising setting reduced to <code>0.3</code><hr /><h3 id="license-j5p7pc16b">License</h3><a target="_blank" rel="ugc" href="https://freedevproject.org/faipl-1.0-sd/">Fair AI Public License 1.0-SD</a>

Ultraviolet Raver Concept - Akali K/DA

Trained with regularisation images dataset of AkaliTargetted ultraviolet related activation tags as the difference between datasets

ultraviolet_raver_reg_v10.safetensors

v1.0 [Pony]

v1.0 [wan-t2v-14b]

v1.0 [hunyuan]

v1.0 [Illustrious]

v1.0 [noobai-v-pred-1]

<h1 id="ultraviolet-raver-concept-akali-kda-xcmd4hvga">Ultraviolet Raver Concept - Akali K/DA</h1>This LoRA is intended to apply an ultraviolet luminiscent style to characters, with bodypaint and paint splatters.Goal was create a generalised ultraviolet before/after concept that could be generally applied to any character/scene without much style bleed.Almost all works relating to this concept in the training data are based on the the League of Legends character Akali's appearance in the K/DA Pop/Stars video.So can expect much of her appeance, including the outfit details and bodypaint markings, to be replicated with this LoRA:<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7b3a28d4-d82d-4117-ac00-f14e8363f081/width=525/7b3a28d4-d82d-4117-ac00-f14e8363f081.jpeg">This wasn't really the intention, and I used a regularisation dataset of Akali images (not ultraviolet) to try to narrow down the <code>ultraviolet</code> concept.The result seems to work pretty well with other characters as intended though, see it applied to other characters in the previews.Recommended prompt structure:Positive prompt:<pre><code>ultraviolet, ultraviolet light, paint splatter, bodypaint, glowing skin,
{{tags}},
black background, dark theme, backlighting</code></pre>Adetailer settings:Adetailer extension is used to automatically segment and upscale faces/hands/bodies as needed:<a href="https://github.com/Bing-su/adetailer" rel="ugc noopener noreferrer nofollow" target="_blank">--&gt; https://github.com/Bing-su/adetailer</a>I recommend default settings with <code>face_yolov8n.pt</code>and the inpaint denoising setting reduced to <code>0.3</code><hr><h3 id="license-p3mfzt4py">License</h3><a href="https://freedevproject.org/faipl-1.0-sd/" rel="ugc noopener noreferrer nofollow" target="_blank">Fair AI Public License 1.0-SD</a>

&lt;p&gt;Trained with regularisation images dataset of Akali&lt;/p&gt;&lt;p&gt;Targetted ultraviolet related activation tags as the difference between datasets&lt;/p&gt;

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