ConsistDiff: Training-free reinforcement learning for semantically consistent text-to-image generation.
ConsistDiff is proposed, an inference-time optimization framework that enhances Stable Diffusion without requiring computationally expensive fine-tuning and consistently improves semantic alignment between the input text prompts and the generated images while maintaining highly efficient inference.