ComfyUI

AI art and its modern tooling ecosystem is at a point now that it unironically takes more effort to generate an intentionally innovative AI image than it is to draw it from scratch. Just look at ComfyUI: https://github.com/comfyanonymous/ComfyUI

I'm being kind of tongue in cheek because I understand that this is for just making things really easy and ComfyUI is a node based editor that most people would have trouble with. But the best UI for local SD generation that the community is using is https://github.com/comfyanonymous/ComfyUI

Hey HN! I shipped a website where you can share & discover ComfyUI workflows for Stable Diffusion. How it works: Download & drop any image from the website into ComfyUI, and ComfyUI will load that image's entire workflow. Why I built this: ComfyUI is an open source UI for building advanced stable diffusion workflows (https://github.com/comfyanonymous/ComfyUI). Interestingly, ComfyUI saves the workflow information within each image it generates (EXIF data), so you can drop any image generated with Comfy into ComfyUI, and it will re-create the image's workflow. This makes sharing advanced Stable Diffusion workflows MUCH easier, but I couldn't find a central website where people share & discover these. So, I built one. Progress/vision: Right now, it has 2K+ images, but would be super cool to soon add other modalities, like videos & audio (an

Generating AI art can get as complex as you want: https://www.reddit.com/r/StableDiffusion/comments/14ye2eg/co... https://github.com/comfyanonymous/ComfyUI

The underlying problem is the community's decision to make users manage this in the first place. This is an example of a setup.py that correctly installs the accelerated PyTorch for your platform: https://github.com/comfyanonymous/ComfyUI/blob/9aeaac4af5e19... As you can see, never merged. For philosophical reasons I believe. The author wanted to merge it earlier and changed his mind. Like why make end users deal with this at all? The ROI from a layperson choosing these details is very low. Python has a packaging problem, this is well known. Fixing setuptools would be highest yield. Other package tooling can't install PyTorch, for example: https://github.com/python-poetry/poetry/issues/6409#issuecom.... PyTorch itself is wonkily packaged. But I'm sure they have a good reason for this. Anyway, it goes to show that you can put a huge amount

Highly recommended: https://github.com/comfyanonymous/ComfyUI

There is another UI for workflow scripts: https://github.com/comfyanonymous/ComfyUI Give it enough times and it will also have the UI simplicity of automatic1111 UI.

I am very bullish on this approach. Is already showing promise with StableDiffusion (https://github.com/comfyanonymous/ComfyUI). I have built humans in the loop feedback models before and they are always very targeted to a specific task. This approach modular and intuitive. I think the scope is too small though. I spent the weekend starting a project to use this approach using a GPT model and FlumeJs (https://github.com/chrisjpatty/flume) but now that I see noFlo i am excited to try it