cui-teacache-lu2

referenced from https://github.com/spawner1145/TeaCache/blob/main/TeaCache4Lumina2/teacache_lumina2.py

firstly transplanted by @fexli

retransplanted by @spawner

Installation

Manual installation

// switch to your project's root directory
cd custom_nodes
git clone https://github.com/spawner1145/CUI-Lumina2-TeaCache.git

Installation via comfyui-manager

Open ComfyUI WebUI
Navigate to Manager -> Install Custom Node
Enter CUI-Lumina2-TeaCache in the Search field, and click Search
Click Install

usage

Connect the TeaCache node between the UNet Loader and KSampler in your workflow.
Set the rel_l1_thresh parameter to a value greater than 0.

Note:

Higher rel_l1_thresh values will improve generation efficiency (manifested as shorter generation times), at the cost of reduced image quality.
The optimal value should be determined through empirical testing based on your specific quality/efficiency requirements.

reference

TeaCache can speedup Lumina-Image-2.0 without much visual quality degradation, in a training-free manner. The following image shows the results generated by TeaCache-Lumina-Image-2.0 with various rel_l1_thresh values: 0 (original), 0.2 (1.25x speedup), 0.3 (1.5625x speedup), 0.4 (2.0833x speedup), 0.5 (2.5x speedup).