nodes/jesenzhang-ComfyUI_StreamDiffusion

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snomiao 925cd482a0 chore(publish): update GitHub Actions workflow for node publishing

- Add permissions to allow issue writing
- Update action version to v1 for publish-node-action
- Add condition to run job only for 'jesenzhang' repository owner

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.github/workflows

chore(publish): update GitHub Actions workflow for node publishing

2025-01-20 21:26:11 +00:00

streamdiffusion

Update image_utils.py

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__init__.py

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LICENSE

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nodes.py

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README.md

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README.md

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.

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!