YellowThing LoRA (Illustrious) | Use Plant Milk 🌿 - Model Suite A flexible Illustrious character LoRA trained for the “Yellow Thing” bounty using the Plant Milk 🌿 - Model Suite checkpoint Features - Strong character consistency - Accurate blonde hair + yellow eyes - Ahoge preserved - Works with multiple outfits - Good facial stability - Flexible prompting support - Includes support for Luna &amp; Sol-Blanc cat prompts Base Checkpoint Plant Milk 🌿 - Model Suite Recommended Trigger - yellowthing Recommended Weight - 1.0 For more creative variations and stronger character influence, feel free to go above:1.0 LoRA strength Recommended Prompt yellowthing, blonde hair, yellow eyes, ahoge, sailor outfit Example Prompt yellowthing, blonde hair, yellow eyes, ahoge, sailor outfit, soft anime lighting, detailed anime illustration Notes This LoRA was trained on a curated multi-outfit dataset to improve flexibility and avoid outfit overfitting while preserving character identity. Supports: - sailor outfit - casual outfits - dresses - winter outfits - cinematic scenes Bonus: - black cat Luna - white cat Sol-Blanc Cat Prompt Example &lt;lora:yellowthing:0.7&gt;, yellowthing, sailor outfit, hugging cute white cat Sol-Blanc, cozy anime scene Recommended Settings - CFG: 5.5–7 - Steps: 28–35 - Sampler: DPM++ 2M Karras, Euler A - Resolution: 1024x1024 , 832x1216, 1216x832 Negative Prompt bad anatomy, extra fingers, blurry, deformed eyes, low quality, mutated hands

Golden Bloom ✨ | Character LoRA

V2 release focused on improving full body quality, facial consistency, and outfit flexibility. Changes: - Improved full body face rendering - Better eye consistency and symmetry - Added larger balanced dataset with more pose variety - Improved outfit flexibility and environmental diversity - Better cinematic lighting compatibility - Cleaner anime lineart and facial structure learning - Improved anatomy and body proportions - Enhanced casual, elegant, fantasy, and slice-of-life outfit generation Training Improvements: - Better caption structure - Improved full body tagging - Better dataset balance between close-up, half body, and full body images - Optimized training settings for sharper facial detail and cleaner eyes

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