<h3 id="hello-everyone!-welcome-to-another-one-of-my-loras.">✨ Hello everyone! Welcome to another one of my LoRAs.</h3><hr />This is one of my all-time favorite series. I tried making some LoRAs of it back when I started, but they didn't turn out very well.But now, I’m bringing you these freshly baked Akame ga Kill models! :D<hr />To use the original anime style in future in this and futures Loras, simply add these tags:<pre><code>anime screencap, anime coloring, flat color,</code></pre>If the style isn't being fully captured, you can also include the anime's release decade tag, for example: <code>2020s (style)</code><h3></h3>In some cases If the model generates repetitive poses or expressions, use the tag: <code>enh_cnr</code> You can adjust its strength with the following format: <code>(enh_cnr:1.5)</code>. I do not recommend using a weight higher than 2.0.<h3 id="suggest-a-character">💬 Suggest a Character</h3>Have a favorite character? You can suggest it here. I review all proposals! (But I can't promise to make them all :))<h3 id="commission">🎯 Commission ?</h3>Of course you can requests any type of character or custom styles, contact me through:<ul><li>Civitai: Send me a private message.</li><li>Ko-Fi: <a target="_blank" rel="ugc" href="https://ko-fi.com/cinabrio">Cinabrio</a></li><li>Discord (Soon)</li></ul>Each model is designed to:<ul><li>Preserve the character's essence (face, body, unique features).</li><li>Offer freedom to mix outfits and styles.</li></ul>Recommended Settings:<ul><li>Sampler: Euler or DPM++ 2M (25–35 steps)</li><li>LoRA Weight: 0.8 (up to 1.0 for higher accuracy)</li><li>ADetailer: Enabled</li><li>CFG Scale: 5–6</li></ul><hr />Thank you for your support! Every download, comment, or Buzz⚡ helps me keep creating. Enjoy generating with this LoRA!

Najenda |  Akame ga Kill!

🧬Physical characteristics<pre><code>najenda_cnr, 1girl,short hair, grey hair,purple eyes, large breasts,eyepatch, 
</code></pre>👗Signature Outfit<pre><code>choker, armor, suit,single gauntlet,
</code></pre>

Files with SHA256: 6a09d7a9c7edaf6790f9a3095253ad3bcf0fd6fc7bbbf0880e15eefe2f59dfe3