A user on Reddit shared their experiences training LoRAs (Low-Rank Adaptation) for image generation models, specifically focusing on Z Image Turbo (ZIT). They found that for animal-like features, omitting them from captions improved results. For human characters, they experimented with creating datasets from studio turnaround shots and candid images, noting that avoiding explicit mentions of body type in captions was key for generating plus-sized models. The user also detailed challenges in creating horror-themed characters, where the model seemed to prioritize 'innocence' over 'horror' and produced older-looking characters when attempting to train on darker, bloodier imagery. AI
IMPACT Provides practical insights for users fine-tuning image generation models.
RANK_REASON User-generated content sharing experimentation and findings, not a formal release or research paper.
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →