retrained with more training data






add anime coloring to prompt looks good.
Trigger word(s): ctianeuphy,
Clothing: blue dress, white jacket, neck ribbon,
commission: https://ko-fi.com/ctian 😼
Example
Positive prompt ✅:
score_9, score_8_up, score_7_up, source_anime, masterpiece, 1girl, ctianeuphy, blue dress, white jacket, neck ribbon, long sleeves, looking at viewer, outdoors, city, leaning forward, chestnut mouth, anime coloring,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
retrained with more training data
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