-
automatic
SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
InvokeAI
InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
-
ComfyUI
The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Automatic1111 - Technically Automatic1111 is the Github username of the maintainer and the application name is stable-diffusion-webui, but seems like everyone just calls it Automatic1111. Probably most popular and well known webui for stable diffusion. Some people seemed to be unhappy with this repo recently due to the maintainer not updating or responding to offers to help maintain the library. But it has been more actively maintained in the last several weeks.
SD.Next / Automatic - Technically the app repo is just called Automatic, but apparently vladmandic wants to brand it as SD.Next. At first glance it mainly appears to be a reskin of Automatic1111. But it has some of the more common extensions, like Dreambooth, built in and some settings more easily accessible (like clip skip) without tinkering in the settings. (Personally I preferred this repo to Autimatic1111 until the most recent updates to the former. But with those recent updates Automatic1111 starts up quicker and is otherwise on par with this
InvokeAI - This is the 2nd easiest to set up and get running (maybe, see below). The UI seems a bit slicker, but the controls are not as fine-grained (or at least not as easily accessible). This and Automatic1111 were the first UIs I tried and, when comparing the results, the quality of the output seemed worse than what I was getting from Automatic1111. This was likely a fluke or some misconfigured settings on my part since it's not likely that the implementation differences were affecting the quality.
ComfyUI - This is the easiest to set up and run out of any of the above, especially if you're on Windows and just use the portable installer. BUT the UI itself is node-based and so setting up a workflow that you're comfortable with actually takes quite a bit of time just in terms of creating nodes and connecting them... and of course things can become quite a mess if you don't also put some effort into organizing the nodes. To make to most of it also requires installing extra node packs like WAS Suite. On top of that, there are some settings/controls that are accessible to you in the nodes that aren't accessible (or immediately accessible) in the above user interfaces, meaining it also involves an additional learning curve in addition to what the other UIs present! BUT, if you're okay with putting in the time necessary to set the stage, you can create stable diffusion workflows that aren't possible in any of the other repos (aside from coding them yourself and using the APIs). (In my opinion, anyone seriously wanting to explore stable diffusion shouldn't exclude this from their library. You shouldn't be thinking, "Do I want ComfyUI or Automatic1111?" Instead, you should be thinking "Do I want Autimatic1111 + ComfyUI or SD.Next + ComfyUI?" etc. However, not really for the beginner or just
Kandisnky-2 - This isn't stable diffusion, but it's stable-diffusion-2.1 like in all the ways that people love and don't love. Has a nice UI and some style preset prompts, but the problem for Kandinsky is the same one facing SD2.1 - the quality of its output is only marginally superior to what can be achieved in SD1.5. No one will move on from SD1.5 until the superiority of the results are more appealing than the pain involved in abandoning all the tooling and training that has gone into SD1.5.