CharacterConsistencyAuditor
Audit character consistency across AI-generated image batches using Claude's vision API. Detect visual drift before it reaches production. When generating character images across sessions, tools like ComfyUI, Midjourney, and Stable Diffusion often produce subtle (or not-so-subtle) deviations — hair color shifts, outfit changes, missing accessories, background mismatches. Manually comparing dozens of outputs against a reference is tedious and error-prone. Character Consistency Auditor compares every generated image against a canonical reference on structured dimensions (face, hair, outfit, props, background, etc.) using Claude's vision model. It produces per-image drift scores, flags off-model outputs, and renders an HTML dashboard. - Structured checklist — compare on face shape, hair, eyes, outfit, props, lighting, background (customizable) - Per-image scoring — 0.0 (identical) to 1.0 (completely different) per dimension - HTML dashboard — visual report with color-coded drift bars - Streamlit web app — upload reference + batch, run audit in-browser - ComfyUI node — drop into any workflow for inline consistency checking - JSON export — machine-readable reports for CI/CD pipelines bash git clone https://github.com/darshd9941/character-consistency-auditor.git cd character-consistency-auditor pip install -r requirements.txt cp .env.example .env
Image/Analysis · 2 Eingaben · 2 Parameter · 3 Ausgaben
