ComfyUI_StreamDiffusion

ComfyUI_StreamDiffusion
★ 154

实时交互流式生成流水线级解决方案ComfyUI插件
在ComfyUI中实现StreamDiffusion流水线,使扩散模型支持实时交互、流式输出与即时预览,提高响应速度与用户控制。
💡 在ComfyUI中实现实时交互式图像生成与即时预览
🍴 16 Forks💻 Python🔄 2025-03-18
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https://pan.quark.cn/s/2df45d172dc1
📄 README

ComfyUI_StreamDiffusion

This is a simple implementation StreamDiffusion for ComfyUI

StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation

Authors: Akio Kodaira, Chenfeng Xu, Toshiki Hazama, Takanori Yoshimoto, Kohei Ohno, Shogo Mitsuhori, Soichi Sugano, Hanying Cho, Zhijian Liu, Kurt Keutzer

StreamDiffusion is an innovative diffusion pipeline designed for real-time interactive generation. It introduces significant performance enhancements to current diffusion-based image generation techniques.

[](https://arxiv.org/abs/2312.12491)

[](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!