# ComfyUI_StreamDiffusion # This is a simple implementation StreamDiffusion for ComfyUI # StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation **Authors:** [Akio Kodaira](https://www.linkedin.com/in/akio-kodaira-1a7b98252/), [Chenfeng Xu](https://www.chenfengx.com/), Toshiki Hazama, [Takanori Yoshimoto](https://twitter.com/__ramu0e__), [Kohei Ohno](https://www.linkedin.com/in/kohei--ohno/), [Shogo Mitsuhori](https://me.ddpn.world/), [Soichi Sugano](https://twitter.com/toni_nimono), [Hanying Cho](https://twitter.com/hanyingcl), [Zhijian Liu](https://zhijianliu.com/), [Kurt Keutzer](https://scholar.google.com/citations?hl=en&user=ID9QePIAAAAJ) StreamDiffusion is an innovative diffusion pipeline designed for real-time interactive generation. It introduces significant performance enhancements to current diffusion-based image generation techniques. [![arXiv](https://img.shields.io/badge/arXiv-2307.04725-b31b1b.svg)](https://arxiv.org/abs/2312.12491) [![Hugging Face Papers](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-papers-yellow)](https://huggingface.co/papers/2312.12491) # Simple Use you can download the workflow image below , and import into ComfyUI

# img2img img2img can be done by send a image to the image imput in the sampler node,but the batch_size must be 1. # StreamDiffusion_Sampler Input Latent is not implemented for now. ### Lora stack You can set Lora stack by using LoRA Stacker from Efficiency Nodes. ## Support Thank you for being awesome!