<h3 id="important:-read-below-iwinj2py5"><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 word(s): ctianm4rs, red hair, Clothing: bodysuit, white short dress,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, red hair, ctianm4rs, bodysuit, white short dress, outdoors, city, depth of field, looking at viewer, sitting, hand on own face, shaded face, evil grin, </code></pre>Negative prompt ❌:<pre><code>score_4, score_5, score_6, source_cartoon, source_furry, source_pony, sketch, 3d, painting, monochrome, dust particles, full body,</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

Mars マーズ PONY - Pokemon

Mars_pokemon_pony_ct_version2.safetensors

v1.0

<h3 id="mars-pony-pokemon-oe0ze6ear">Mars マーズ PONY - Pokemon</h3>kofi commission KenlpdTrigger word(s): ctianm4rs, red hair, Clothing: bodysuit, white short dress,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, red hair, ctianm4rs, bodysuit, white short dress, outdoors, city, depth of field, looking at viewer, sitting, hand on own face, shaded face, evil grin, </code></pre>Negative prompt ❌:<pre><code>score_4, score_5, score_6, source_cartoon, source_furry, source_pony, sketch, 3d, painting, monochrome, dust particles, full body,</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 parameters

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