A Reddit user has shared insights from training over 100 character LoRAs for Krea 2, emphasizing that dataset quality significantly outweighs quantity for achieving accurate likeness. The user found that more training data does not necessarily lead to better results, and that a clean, diverse dataset of around 30 high-quality images can outperform larger, noisy datasets. Key factors for successful LoRA training include ensuring varied angles, expressions, and clothing in the dataset, avoiding overtraining by selecting appropriate checkpoints, and testing the LoRA's flexibility beyond the training data's typical scenarios. AI
IMPACT Provides practical guidance for users aiming to improve character likeness in AI image generation with LoRAs.
RANK_REASON User-generated guide on optimizing a specific AI tool's functionality.
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →
