<h3 id="important:-read-below-1qchreyg5"><a target="_blank" rel="ugc" href="https://ko-fi.com/ctian"><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/cf614846-63c8-4596-a5fd-f5962d69ae75/width=525/cf614846-63c8-4596-a5fd-f5962d69ae75.jpeg" /></a>IMPORTANT: READ BELOW</h3>Trigger word(s): ctianmuri Clothing: leotard, bodysuit, belt, domino mask, garter straps,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, ctianmuri, leotard, bodysuit, belt, domino mask, garter straps, looking at viewer, outdoors, smile, leaning forward,</code></pre>Negative prompt ❌:<pre><code>sketch, 3d, light particles, holding</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

Nemuri Kayama 香山睡 / Midnight PONY - Boku no Hero Academia

KayamaNemuriPONY3.safetensors

v1.0

<h1 id="nemuri-kayama-midnight-boku-no-hero-academia-pvldejh73">Nemuri Kayama 香山睡 / Midnight - Boku no Hero Academia</h1>Trigger words: ctianmuri Clothing: leotard, bodysuit, belt, domino mask, garter straps,Consider tipping? <a target="_blank" rel="ugc" href="https://ko-fi.com/ctian">https://ko-fi.com/ctian</a> 768 x 1344: Vertical (9:16) 915 x 1144: 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) 1564 x 670: Cinematic (21:9)

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