🌌 Rebecca (Cyberpunk: Edgerunners) — Qwen-Image LoRAThis LoRA generates Rebecca from the anime Cyberpunk: Edgerunners.It was trained and optimized specifically for the Qwen-Image architecture to reproduce her chaotic personality, expressive poses, and vibrant style.<hr /><h2 id="recommended-settings">🧩 Recommended Settings</h2>Trigger Word: <code>R3becc4:</code>Recommended Strength: <code>1.0</code> <h3 id="samplers">Samplers</h3><ul><li>res_2m — High quality</li><li>er_sde — Faster generation (recommended)</li><li>sa_solver — Faster generation </li></ul><h3 id="schedulers">Schedulers</h3><ul><li>beta57</li><li>bongo_tangent</li><li>karras</li></ul><hr /><h2 id="prompt-tips">💡 Prompt Tips</h2>It is recommended to start your prompt with the trigger word, followed by a short description. Example<pre><code>R3becc4: pale skin, pastel green hair in twin tails, red and yellow cybernetic eyes, pink tattoos

[your prompt]</code></pre><hr /><h2 id="warning-training-notes">⚠️ Warning / Training Notes </h2>Due to mixed training data, the model may occasionally produce inconsistent cybernetics or tattoo details for Rebecca. Some images in the dataset contain different stylistic interpretations of the character, which can cause variations such as: <ul><li>Slightly inaccurate cybernetic eye designs</li><li>Tattoos appearing simplified, altered, or partially missing</li><li>Small inconsistencies in cybernetic elements</li></ul>If higher accuracy is required, adding explicit details about the cybernetics or tattoos in the prompt can help guide the generation. <img /><hr /><h2 id="contact-and-support">👤 Contact &amp; Support <img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4f82c463-5f75-419f-bb65-43d2f7dfcb6c/original=true/4f82c463-5f75-419f-bb65-43d2f7dfcb6c.jpeg" /></h2>Discord: <code>hex_wave</code>Server: <a target="_blank" rel="ugc" href="https://discord.gg/bPbAe4MQSH">https://discord.gg/bPbAe4MQSH</a> (Brazilian AI community server — Toca da IA)Feedback and character suggestions are always welcome. Support helps with the creation of new high-quality LoRAs.

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