ComfyUI VS stable-diffusion-webui

Method 1 (Basic API): websockets_api_example.py

Clone and Setup ComfyUI: git clone https://github.com/comfyanonymous/ComfyUI cd ComfyUI python3.11 -m pip install --pre torch torchvision --extra-index-url https://download.pytorch.org/whl/torch_stable.html pip3 install -r requirements.txt

🔗Manually Install RTX 5000 Series Support ⤵️ ▶️ https://github.com/comfyanonymous/ComfyUI/discussions/6643

ComfyUI is a fascinating GUI for Stable Diffusion that allows users to run Stable Diffusion models locally and create image generation workflows. It's an intuitive, modular, and customizable platform distributed under the GPL 3 license.

ComfyUI is a local and portable interface often used to generate AI-generated art using models like Stable Diffusion. When collaborating with remote clients or teammates, you might need to share this locally hosted interface online. Pinggy, a tunneling service, makes this simple by providing a public link to access your setup securely.

For runtime, I use ComfyUi [0] which is node based and therefore a bit hard to learn. But you can just look at the examples on their github. Foocus [1] also seems to be popular and a bit more conventional perhaps, though I didn't try it.

For models, Flux [2] is pretty good and quite straightforward to use. (In general, you will have a runtime and then you have to get the model weights seperately). Which Flux variant depends on your graphics card, the Flux.1 schnell should work for most decently modern ones. (And the website, civitai.com is a repository for models and other associated tools.)

[0] https://github.com/comfyanonymous/ComfyUI

[1] https://github.com/lllyasviel/Fooocus

[2] https://civitai.com/models/618692?modelVersionId=699279

When working with AI tools like ComfyUI for creating stunning art with models such as Stable Diffusion, sharing your locally hosted interface with remote collaborators or clients can be challenging. With Pinggy, a lightweight tunneling tool, you can seamlessly expose your local ComfyUI setup to the internet. Here's a step-by-step guide to get you started.

What is ComfyUI? ComfyUI, according to author, "lets you design and execute advanced stable diffusion pipelines using a graph/nodes/flowchart based interface". Basically, we can play with stable diffusion pipelines by just moving around some nodes.

Didn't believe that anyone would be bridge-burning-happy enough to put this in their official docs, but you're not kidding: https://github.com/comfyanonymous/ComfyUI/wiki/Which-GPU-sho...

In retrospect, the fact that Intel and AMD's stock prices both closed slightly up when Microsoft announced the Snapdragon X on Windows 11 was a dead giveaway that the major players knew behind the scenes that it was being released seriously under baked.

For those interested in this innovative tool, accessing the GitHub repository at https://github.com/AUTOMATIC1111/stable-diffusion-webui provides further details and instructions on how to utilize its features effectively. Embrace the future of creativity and unlock new possibilities with this enhanced web interface for Stable Diffusion.

A year and a half ago, I embarked on an open-source project that has since grown and evolved significantly. Inspired by the AUTOMATIC1111 project, which was just starting to gain traction at the time, I kept adding new features and capabilities. Today, my project integrates over 50 different neural networks, each handling a unique task. In this article, I want to share some practical tips and key takeaways from my journey. I hope they prove helpful to you and motivate you to refactor your code.

We will be looking into the image generation aspect of this generative model. We will use stable-diffusion-webui for more user-friendly interface.

* LLaVA model: I'll add more documentation. You are right Llava could not generate images. For image generation I don't have immediate plans, but checkout these projects for local image generation.

- https://diffusionbee.com/

- https://github.com/comfyanonymous/ComfyUI

- https://github.com/AUTOMATIC1111/stable-diffusion-webui

I would love to be able to have a native stable diffusion experience, my rx 580 takes 30s to generate a single image. But it does work after following https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki...

I got this up and running on my windows machine in short order and I don't even know what stable diffusion is.

But again, it would be nice to have first class support to locally participate in the fun.

In Auto1111, that just uses Image.blend. :)

https://github.com/AUTOMATIC1111/stable-diffusion-webui/blob...