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ELSAC helps you organize, identify, and curate character images for training a consistent LoRA in diffusion models. It uses CLIP embeddings + HDBSCAN to cluster visually similar images, then guides you through several scoring passes to find your strongest samples, and generates technical quality reports.
Two photos in. Trainer-ready LoRA dataset out. Face + body references become hundreds of identity-locked, captioned, aspect-bucketed training images via Nano Banana 2 — with review, Gemini-judge face validation, and one-click export for Qwen-Image training.