<h3 id="important:-read-below-q9wc7wpck"><a target="_blank" rel="ugc" href="https://ko-fi.com/ctian"><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/f87e79ea-aacf-4c23-82c1-c83fe164044a/width=525/f87e79ea-aacf-4c23-82c1-c83fe164044a.jpeg" /></a>IMPORTANT: READ BELOW</h3>Trigger word(s): ctiankakushi, Clothing: black headwear, mouth mask, black uniform, white belt, black pants, Footwear: tabi, zouri,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, ctiankakushi, medium breasts, black headwear, mouth mask, black uniform, white belt, black pants, tabi, zouri, looking at viewer, outdoors, forest, depth of field, sitting, rock,</code></pre>Negative prompt ❌:<pre><code></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 parameter

Kakushi 隠し PONY - Demon Slayer / Kimetsu no Yaiba / 鬼滅の刃

Kakushi_Pony_ct.safetensors

v1.0

<h3 id="kakushi-pony-demon-slayer-kimetsu-no-yaiba-i5je07cac">Kakushi 隠し PONY - Demon Slayer / Kimetsu no Yaiba / 鬼滅の刃</h3>currently watching demon slayer, once im done ill be doing all demon slayer female characters. enjoy kakushi helper 😺Trigger word(s): ctiankakushi, Clothing: black headwear, mouth mask, black uniform, white belt, black pants, Footwear: tabi, zouri,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, ctiankakushi, medium breasts, black headwear, mouth mask, black uniform, white belt, black pants, tabi, zouri, looking at viewer, outdoors, forest, depth of field, sitting, rock,</code></pre>Negative prompt ❌:<pre><code></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://civitai.com/user/ctian">profile</a>do not ask me training parameters, check lora metadata for training parameter<a target="_blank" rel="ugc" href="https://ko-fi.com/ctian"><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/195dc756-2ac3-477a-8455-fdae6959bba9/width=525/195dc756-2ac3-477a-8455-fdae6959bba9.jpeg" /></a>

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