fixed captioning and retrained, model will be more stable.









Trigger word(s): ctiansanya,
Clothing: uniform, necktie, strapless vest, long sleeves, black skirt, black pantyhose,
Cat: cat ears, cat tail,
commission: https://ko-fi.com/ctian 😼
Example
Positive prompt ✅:
score_9, score_8_up, score_7_up, source_anime, masterpiece, 1girl, ctiansanya, uniform, necktie, strapless vest, long sleeves, black skirt, black pantyhose, beach, outdoors, cowboy shot, sunny, ocean, scenery, depth of field, looking at viewer, cinematic,Negative prompt ❌:
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 photoshop
3. Tag dataset using booru github
4. Train LoRa in kohya ss locally github
5. Test epochs using xyz grid in controlnet to ensure LoRa is not overfitted/underfitted.
6. Submit model to CivitAI profile
do not ask me training parameters, check lora metadata for training parameters
fixed captioning and retrained, model will be more stable.
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