Generate consistent characters

This post introduces and compares several state-of-the-art image generation models (OpenAI's gpt-image-1, Runway's Gen-4 Image, Black Forest Labs's FLUX.1 Kontext, Bytedance's SeedEdit 3.0, Ideogram's Character, and Runway's Gen-4 Image Turbo) for generating consistent characters from a single reference image. It provides a detailed analysis of their performance across various criteria including photographic accuracy, identity preservation (e.g., unusual hair/eye color, tattoos, facial hair changes), and creative transformations (style changes, character metamorphosis). The post includes a price and speed comparison table, and highlights specific strengths and weaknesses of each model through numerous visual examples. It also mentions a community-created comparison model on Replicate for parallel output evaluation.