Hierarchical text-conditional image generation with CLIP latents

AI Impact Summary

New capability enabling hierarchical text-to-image generation by conditioning on CLIP latent representations. This enables multi-level prompts to guide outputs, improving control and alignment with complex design briefs. Teams should assess how to integrate CLIP latents into the image-generation pipeline, including prompts, latent extraction, and caching strategies, as well as potential impacts on inference latency and compute budgets.