airunner VS ComfyUI

AI Runner is an application that I have been developing for over a year. This next iteration is a near total rewrite and adds lots of new features - what started out as an AI Art application has evolved into a multi-modal AI assistant built with pure python. It runs locally and offline on your own hardware (I recommend using an RTX 2080s or higher).

You can get the source here: https://github.com/Capsize-Games/airunner/

Hi all, I've been working on this application for quite some time. It started out as a Stable Diffusion art app, and is now transitioning into a full featured AI assistant of sorts.

The video features me talking to the computer using my headphones. It records my speech, translates bytes to text, passes that to the LLM which generates text, and then uses another model for text to speech.

The video also shows me asking for an image at which point the LLM generates a prompt. Stable Diffusion is loaded and the prompt is passed to SD to generate the image.

The models I'm using:

- TTS: SpeechT5

- LLM: Mistral 7b

- Stable Diffusion: Turbo

- STT: whisper-tiny

- Vision: various, still in development

As I mentioned there at the end, vision is still in development. I have a working prototype in which images are taken every second, translated into text and then passed to my chat prompt. It works OK but is often wrong.

The project is open source under GPL-3, written with Python using PyQT6. You can find it here:

https://github.com/Capsize-Games/airunner

The compiled stable version is available for download on itch, but only includes image generation capabilities, everything else is in the unreleased 3.0.0 version

https://capsizegames.itch.io/ai-runner

I am the creator of AI Runner, an application that allows you to run Stable Diffusion and LLMs locally on your own hardware. It is built with pure python using PyQT6, Huggingface and many more libraries. The goal is to create a local AI Assistant that can run on local hardware.

Although the current compiled production version 2.2.0 is limited to Stable Diffusion, I have added LLM support and much more to the upcoming v3.0.0.

With it you can run chatbots, connect your camera and microphone to pull images and text for use with the chat bot (a work in progress) and much more.

I test heavily using a 2080s. Version 2.2.0 has also been tested with a 1080GTX and also runs on the CPU (albeit very slowly).

I'm using agents and tools for the bot as well, so you can make it do things like RAG, control the application, launch apps on your computer, generate prompts for stable diffusion and much more.

Additionally I have added text to speech (there are currently two options with various settings to choose from, SpeechT5 and Bark).

AI Runner is GPL 3.0 and uses pyinstaller to create a compiled version for Windows and Ubuntu, available here https://capsizegames.itch.io/ai-runner

Version 3.0.0 is still under development. I hope to launch within the next month or so, but if you'd like to get a pre-release preview you can install the latest version from master.

This is a passion project of mine that I've been working on since 2022. The upcoming version has been in development for around 7 months and during that time I got Covid and the flu which slowed me down by a little over a month.

If you have questions please don't hesitate to ask.

Hi, I am the creator of AI Runner - a GUI that allows you to run Stable Diffusion and Kandinsky locally from your own hardware without installing any additional libraries. It is a compiled open source application. Its currently 50% off during the itch.io summer sale (or free if you want to install the requirements from source - see link at the end of this post for more info)

I created a lowcost opensource no-install stable diffusion / kandinsky app called AI Runner that you might be interested in checking out https://capsizegames.itch.io/ai-runner

Bummer tho bud, sorry we couldn't get you up and running but good luck and don't give up yet lol, there are plenty of other UIs you can try out :D That reminds me, there's this one I tried a bit ago that someone on here released, it was easy to set up and would probably work for you.

AI Runner

As always, this is a work in progress. If you run into bugs, feel free to DM or join my Discord server or file a report on github

The non standard licensing puts me off in contributing or using this. It is frustrating how the phrase opensource has been diluted in the AI/ML community. ComfyUI has a GPL license [1] while this project uses this [2]. I honestly don't know where I stand since this is a legal document using non-standard phrasing to describe how the rights around the source code.

This is a project that uses a custom license with less rights provided than the ComfyUI project it self-describes as improving. Am not sure the title is reflective of the project.

[1] - https://github.com/comfyanonymous/ComfyUI/blob/master/LICENS...

* 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

Check out ComfyUI for a much more advanced and open source version of this.

https://github.com/comfyanonymous/ComfyUI

I use Stable Diffusion family models for innovative art products.

On a small scale, you have to professionalize ComfyUI’s development. My PR to make it installable and to make a plugin ecosystem that makes sense should not be sitting unmerged (https://github.com/comfyanonymous/ComfyUI/pull/298).

On a medium scale, CLIP is holding you back. I would eagerly buy a 48GB card to accommodate a batch size 1, gradient checkpointed LoRA-trainable model with T5 for conditioning. I want PixArt-a or DeepFloyd/IF with the SDXL dataset and training. I get I can achieve so much with SDXL on 24GB, including just barely a fine tuning, I understand the engineering decisions here, but it’s too weak on prompts.

On a large scale, I’m willing to spend a little money up front. In those conditions you can be far more innovative, you don’t have to make everything for $0. Shane Carruth didn’t make Primer for $0. I’m sure you’ve seen this movie, you get how astoundingly good it is. But he still spent something. He spent only slightly more than an RTX 6000 Ada.

Innovators have budgets. It’s still worth releasing the most powerful possible model for expensive hardware, this is why everyone is talking about Mixtral, but it’s especially true of visual art.

It's litegraph.js [1] and seems to be the only lib they include in /web [2] :

[1] https://github.com/jagenjo/litegraph.js

[2] https://github.com/comfyanonymous/ComfyUI/tree/master/web/li...

It's possibly you might get a later version of Comfy working, but I had no success with this method and the 1st Sept version of Comfy. The older versions are here under Assets... https://github.com/comfyanonymous/ComfyUI/releases

That said, please do learn coding and don't get discouraged when somebody says to learn PyTorch or recommends using a Jupiter notebook with no further information on how to translate the skill into images. I would highly recommend some short term goals. Get your feet wet by taking apart the UIs. The comfy API documentation is here and the A1111 API documentation is here. There is a difference in completeness, welcome to programming. Writing nodes or plugins is also a good way to jump into this world. Custom wildcard logic might be very attractive to you if you aren't the type that want to deal with a nested file structure to simulate logic.

For example ComfyUI can simply be downloaded and run using the portable version (https://github.com/comfyanonymous/ComfyUI/releases/download/latest/ComfyUI_windows_portable_nvidia_cu121_or_cpu.7z) if your not comfortable using GIT etc.

https://github.com/comfyanonymous/ComfyUI scroll down to "Install"