#214 · Primary category: Inference & Local Deploy
ComfyUI_NetDist
Run ComfyUI workflows on multiple local GPUs/networked machines.
Project last updated:05/22/24
GitHub Stars
505
Forks
50
Contributors
1
License
Apache-2.0
Why we included this project
For people running ComfyUI jobs that stall on one card, NetDist spreads a workflow across the GPUs you already own or across machines on your local network. Queue nodes dispatch part of the graph to a second ComfyUI instance, whether that's another GPU on the same machine or a separate PC reached over the network, and a fetch node brings the finished output back. A two-node setup covers simple dual-GPU rigs, while the advanced mode can send an entire workflow JSON and lets you set the final image to "any" instead of a fixed output, which is handy once you scale past two cards. It suits power users and small teams who already manage multiple ComfyUI instances and want higher throughput or to render on a dedicated box without stitching pipelines together by hand. Installation is just pip install requests and a clone into the custom nodes folder, so it's easy to try on hardware you already have.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
ollama
Get up and running with Kimi-K2.6, GLM-5.2, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.
llama.cpp
LLM inference in C/C++
vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
gpt4all
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
LocalAI
LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.