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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.

arXiv Hugging Face Papers

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.

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Thank you for being awesome!

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This is a simple implemention StreamDiffusion for ComfyUI

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  • Python 100.0%