Differential Diffusion With Region Specific Generation Control

via “regional diffusion pipeline with per-region prompt injection”

[ICML 2024] Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs (RPG)

Unique: Extends diffusers library pipelines with native regional conditioning by modifying the UNet forward pass to apply region-specific prompts during latent diffusion, rather than post-processing or external masking. Supports both SD and SDXL architectures with unified API, enabling seamless model switching without pipeline reimplementation.

vs others: More efficient than sequential per-region generation because regions are generated in parallel within a single diffusion pass; more flexible than ControlNet-based approaches because it doesn't require auxiliary control images, only text prompts and region definitions