ComfyUI-Copilot is highly praised for simplifying the use of ComfyUI, making it more accessible and efficient for users. It is particularly beneficial for beginners, offering node suggestions and workflow assistance. Users appreciate its ability to streamline complex tasks and enhance productivity. The makers of
commend ComfyUI for enabling sustainable local experimentation with open-source models. Overall, ComfyUI-Copilot is seen as a valuable tool for improving the ComfyUI experience.
srRAW Cinema Camera for iPhone
Flowtica Scribe
Trickle
It is a good idea to make ComfyUI easier to use. Congrats on the launch!
Product Hunt
I actually stopped using Comfy because I could not be bothered anymore finding the right workflows for what I needed, will give it a try again!
Flowtica Scribe
@juan Totally get that. I almost gave up a few times myself when I first started with ComfyUI because building workflows and debugging can be a real challenge.
But after using a lot of the closed-source, paid image tools, I still think ComfyUI is an amazing tool. It's especially valuable now, with all the phenomenal open-source multimodal models coming out recently, and ComfyUI is almost always the first to support them.
AltPage.ai
Whoa, just typing what you want and having ComfyUI build the workflow for you? That’s honestly genius, saves sooo much time. Big props to the team for this one fr!
Love the idea of bridging natural language with ComfyUI. Making complex workflows more accessible is exactly what the space needs.
Linkinize
Making ComfyUI more accessible through natural language is a great move — especially for speeding up creative workflows. Excited to see it in action. Congrats on the launch 🚀
This is fantastic, @founder! 👏 Lowering the barrier for ComfyUI is such a valuable contribution. The idea of translating natural language into workflows is brilliant for newcomers, and even for seasoned users who want to accelerate their creative process. My question is, beyond just generating workflows, does ComfyUI-Copilot also provide explanations or insights into *why* certain nodes or parameters are chosen, helping users learn the underlying mechanics? ✨