The paper introduces UFO, a chain‑of‑evaluation framework designed to achieve omni‑condition alignment in multi‑modal image generation. Unlike prior embedding‑ or MLLM‑based metrics that assess each condition separately, UFO evaluates all modalities jointly, aligning with the simultaneous condition objective. This approach aims to improve consistency with human judgments in subject‑driven customization tasks.