<h3 id="important:-read-below-409er1miq"><a target="_blank" rel="ugc" href="https://ko-fi.com/ctian"><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/eeabc2aa-b4d7-4c92-9cf5-85ae14d96764/width=525/eeabc2aa-b4d7-4c92-9cf5-85ae14d96764.jpeg" /></a>IMPORTANT: READ BELOW</h3>Trigger words: ctiansay0, Clothing: pink dress, necklace, bracelet,commission: <a target="_blank" rel="ugc" href="https://ko-fi.com/ctian">https://ko-fi.com/ctian</a> 😼 Example Positive prompt ✅:<pre><code>score_9, score_8_up, score_7_up, source_anime, masterpiece, 1girl, ctiansay0, pink dress, necklace, bracelet, looking at viewer, outdoors, resort, depth of field,</code></pre>Negative prompt ❌:<pre><code>score_4, score_5, score_6, source_cartoon, source_furry, source_pony, sketch, 3d, painting, monochrome, dust particles,</code></pre>Recommended resolution, aspect ratio for sdxl, pony 📷768 x 1344: Vertical (9:16)832 x 1216: Portrait (4:5) **1024 x 1024: Square (1:1)1182 x 886: Photo (4:3)1254 x 836: Landscape (3:2)1365 x 768: Widescreen (16:9)Work flow, procedure 🔧1. Collect dataset (booru, anime screencaps, search)2. Clean up dataset using upscalers, inpainting and photoshop3. Tag dataset using booru <a target="_blank" rel="ugc" href="https://github.com/starik222/BooruDatasetTagManager">github</a>4. Train LoRa in kohya ss locally <a target="_blank" rel="ugc" href="https://github.com/bmaltais/kohya_ss">github</a>5. Test epochs using xyz grid in controlnet to ensure LoRa is not overfitted/underfitted.6. Submit model to CivitAI <a target="_blank" rel="ugc" href="https://civarchive.com/user/ctian">profile</a>do not ask me training parameters, check lora metadata for training parameters

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