The pipeline generates a low-resolution image, upsamples it with Real-ESRGAN, re-encodes the result, injects scheduler-consistent low-strength noise, and performs a small number of high-resolution denoising steps. The repository provides reference scripts, scheduler helpers, ComfyUI nodes, and variants for FLUX, Qwen-Image, FLUX.2 Klein, Z-Image-Turbo, and Pi-Flow combinations.
MrFlow is useful when local or hosted image generation needs lower latency without model fine-tuning or custom kernels. The project reports end-to-end speedups such as 10.3x for Qwen-Image, 8.25x for FLUX.1-dev, and up to 25x for a Qwen-Image plus Pi-Flow configuration, while preserving a higher-resolution refinement pass for detail.
