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aitools_client
Seth's AI Tools: A Unity based front end that uses ComfyUI and LLMs to create stories, images, movies, quizzes and posters
Stars: 163
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Seth's AI Tools is a Unity-based front-end that interfaces with various AI APIs to perform tasks such as generating Twine games, quizzes, posters, and more. The tool is a native Windows application that supports features like live update integration with image editors, text-to-image conversion, image processing, mask painting, and more. It allows users to connect to multiple servers for fast generation using GPUs and offers a neat workflow for evolving images in real-time. The tool respects user privacy by operating locally and includes built-in games and apps to test AI/SD capabilities. Additionally, it features an AI Guide for creating motivational posters and illustrated stories, as well as an Adventure mode with presets for generating web quizzes and Twine game projects.
README:
Seth's AI Tools: A Unity based front-end for ComfyUI and Ollama (and others) that does things like generate photos and movies, Twine games, quizzes, posters and more.
License: BSD style attribution, see LICENSE.md
Download the latest version: V2.00 (Feb 25th, 2025) AI Tools Client (Windows, 62 MB)
Need an old version? The last pre-V2 version (that still supports Auto1111) can be downloaded here.
To use this, you'll need to connect to something that can generate images, and hopefully an LLM too. A single OpenAI key is enough to do a lot (LLM and Dale3 rendering), you can also use Claude (via API key), or best yet, your own local ComfyUI server(s) and Ollama.
- It's not a web app, it's a native locally run Windows .exe
- It's kind of like lego, is can run ComfyUI workflows that chain together. You need to understand ComyUI and workflow tweaking as you'll still need to install all the needed custom nodes and models there. (you do have ComfyUI Manager installed, right?!)
- Drag and drop images in as well as paste images from the windows clipboard
- Built-in image processing like cropping and resizing, mask painting
- Pan/zoom with thousands of images on the screen
- Built to utilize many ComfyUI servers at once
- Privacy respected - does not phone home or collect any statistics, purely local usage. (it does check a single file on github.com to check for newer versions, but that's it)
- Includes "experiments", little built-in games and apps designed to test AI
- AI Guide feature harnesses the power of AI to create motivational posters, illustrated stories or whatever
- Adventure mode has presets to various modes - generate ready to upload illustrated web quiz from prompt, simple Twine game project from a prompt, and "Adventure", a sort of illustrated AI Dungeon type of toy
- Includes presets and workflows for Flux, SDXL, Hunyuan, Wan 2.1, MMAudio, SAM2, BiRef
- By default strips tags when continuing LLM work for Deepseek/thinking models
- For developers, using Unity and C# to do powerful things with AI instead of banging your head against the wall with ComfyUI workflows and python is pretty sweet
- You can drag in a bunch of pictures and have it turn them into tiny movies with sound. How cool is that?
- I ripped out the A1111 support, it's ComfyUI all the way now. It's a big step and it broke things, so the paintball game and pizza thing are removed. Most of the other things still work. Crazy Camera sort of works, I fix it up later when I need it, it works using the new workflow/joblist system but it's too slow. I've versions to V2 to make it clear it's not the old version anymore.
- Introduces a whole new preset "joblist" system that strings together ComfyUI workflows, there are too many changes to list. Making your own presets and worklows should be much simpler now.
- This project is entirely for fun, please pardon the lack of documentation and ease of use. I'll try to help if you post problems here as issues or in the discussion area though!
- I suspect certain workflows won't work on Windows because I have a subdir in the model filename and the whole "/" vs "\" thing rears its ugly head. Why wouldn't ComfyUI fix those based on the system it's running on? Anyway, you can either use a @replace to fix them in AITools, or edit the workflow's .json with a text editor, or drag the workflow into ComfyUI and edit the path there. I only test on Windows, with the servers running on Ubuntu.
- Lack of documentation etc due to laziness
- CrazyCam (where the webcam is being used for realtime image processing) is half broken and slow
- Expect things to break and change, it's very alpha and probably always will be
- Probably a ton of bugs, I haven't tested it much
- The SDXL Inpainting ComfyUI workflow sometimes fails, tweaking the alpha mask fixes it, no idea what's up but it's not happening on my app's side
- The SAM2 based "select things by name" segmentation is pretty sketch, best I could find though. Also, it can only select ONE thing in the image, I don't see a way to fix it without writing a custom node. Use the including BiRef workflow instead if you can, it can only do "foreground" and "background" but it works much better in general.
- It can use all of OpenAI's APIs unless you set it to o1-mini, OpenAI doesn't like the format and gives an error. gpt-4o and o3-mini work fine so whatever I guess.
You only need to download the zip and run the .exe to use this, However, the source might be useful to generate a build for other platforms, fork or steal pieces to use for yourself. Go ahead!
Your ComfyUI server needs to be started using the --listen parm, so the API can be accessed.
After running it, a config.txt will be made. There is an config edit button inside the app, your config will look like this:
#add as many add_server commands as you want, just replace the localhost:7860 part with the
#server name/ip and port. You can control any number of renderer servers at the same time.
#This is where you add rendering servers. (ComfyUI servers run with --listen parm) For Dalle-3, don't set here, just enter your OpenAI key below.
#Uncomment below and put your renderer server. Add more add_server commands to add as many as you want. The second parm is
#an optional name so you can keep track of which server has which video card.
#add_server|http://localhost:7860|5090!|
#Set the below path and .exe to an image editor to use the Edit option. Changed files will auto
#update in here.
set_image_editor|C:\Program Files\Adobe\Adobe Photoshop 2025\Photoshop.exe
#To generate text with the AI Guide features, you need at least one LLM. (or all, you can switch between them in the app)
#OPENAI (works for LLM and Dalle-3 as renderer)
set_openai_gpt4_key|<key goes here>|
set_openai_gpt4_model|gpt-4o|
set_openai_gpt4_endpoint|https://api.openai.com/v1/chat/completions|
#address of your generic LLM to use, can be local, on your LAN, remote, etc (text-generation-webui or TabbyAPI API format)
set_generic_llm_address|localhost:5000|
#if your generic LLM needs a key, enter it here (or leave as "none")
set_generic_llm_api_key|none|
#what we tell the model to use. If you notice the llm is forgetting things or messing up, your model might not be an instruct-compatible model, try llama 3.3 with Ollama as a test.
set_generic_llm_mode|chat-instruct|
#this is needed if using an ollama server, otherwise you'll see a "model is required" error. Note that might cause the model to be loaded which means a huge delay at first.
add_generic_llm_parm|model|"llama3.3"|#needed for ollama, the model you want to use
#add_generic_llm_parm|num_ctx|131072|#needed for ollama, the context size you want the model to load with (we'll create a custom profile with an _ait extension)
#add_generic_llm_parm|temperature|1.0|#allows you to globally override LLM temperatures
#add_generic_llm_parm|max_tokens|4096|
#some things you could play with
#add_generic_llm_parm|stop|["<`eot_id`>", "<`eom_id`>", "<`end_header_id`>"]|#Note that ` gets turned into |
#add_generic_llm_parm|stopping_strings|["<`eot_id`>", "<`eom_id`>", "<`end_header_id`>"]|
#the following allow you to override the default system, assistant, and user keywords for the generic LLM, if needed.
#different LLMs are trained on different words, if the llm server you use doesn't hide this from you, you might notice weird
#or buggy behavior if these aren't changed to match what that specific llm wants
#set_generic_llm_system_keyword|system|#default is system
#set_generic_llm_assistant_keyword|assistant|#default is assistant
#set_generic_llm_user_keyword|user|#default is user
#Anthropic LLM
set_anthropic_ai_key|<key goes here>|
set_anthropic_ai_model|claude-3-7-sonnet-latest|
set_anthropic_ai_endpoint|https://api.anthropic.com/v1/messages|
#if you're using a ComfyUI workflow that creates audio, and you don't have AITOOLS_AUDIO_PROMPT or AITOOLS_AUDIO_NEGATIVE_PROMPT set in the ComfyUI workflow, these are used as defaults:
set_default_audio_prompt|audio that perfectly matches the onscreen action|
set_default_audio_negative_prompt|music|
First, install ComfyUI and get it rendering stuff in Flux and/or Hunyuan using tutorials out there.
Don't move on until it's working and you can generate images (Flux is good) and/or videos in ComfyUI directly!
Next, just for a test to make sure the workflows included with AITools are going to work, inside ComfyUI's web GUI, drag in aitools_client/ComfyUI/FullWorkflowVersions/text_to_img_flux.json or any others. The neat thing about ComfyUI is it will read this and convert it to its visual workflow format, ready to run. (you might want to change the prompt from <AITOOLS_PROMPT> to something else during testing here) - Click Queue. Does it work? Oh, if you see an Image Loader set to the file "<AITOOLS_INPUT_1>" you'll need to change that to a file on your ComfyUI server if you want to test.
You'll probably see a bunch of red nodes and errors - no problem! Make sure you have ComfyUI-Manager installed, you can use it to install any missing nodes. You'll probably have to track down various model files though, but at least when you try to render it will shows exactly the filenames that are missing. (look for red boxes around certain nodes)
Adjust it until it works (change paths or models or whatever you need, you could even start with a totally different workflow you found somewhere else), and make sure the prompt is set to <AITOOLS_PROMPT>. (<AITOOLS_NEGATIVE_PROMPT> can be used if your workflow has a place for that too) Then do Workflow->Export (API) if you wanted to save your own. Note: You need to have enabled "Dev mode" in the ComfyUI settings to see the "Export (API)" option.
So you don't have to create custom workflows for every checkpoint/filesize etc, you can use AITools' "@replace" to change any part of a workflow before it's sent to ComfyUI's API. You'll see it used in various presets.
Check discussions for some more info here
- Requires Unity 6+
- Open the scene "Main" and click play to run
- Assets/GUI/GOTHIC.TFF and Assets/GUI/times.ttf are not included and might break the build because I was having trouble and switched some settings around that might require them now (dynamic vs static TMPro font settings...)
Credits and links
- Audio: "Chee Zee Jungle"
Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 3.0
http://creativecommons.org/licenses/by/3.0/
- NotoSansCJKjp-VF font licensed under the Open Font License (OFL)
- Audio: JOHN_MICHEL_CELLO-BACH_AVE_MARIA.mp3 performed by John Michel. Licensed under Creative Commons: By Attribution 3.0
http://creativecommons.org/licenses/by/3.0/
- Written by Seth A. Robinson ([email protected]) twitter: @rtsoft - Codedojo, Seth's blog
- Special thanks to the awesome people working on AUTOMATIC1111's stable-diffusion-webui project
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krita-ai-diffusion
Krita-AI-Diffusion is a plugin for Krita that allows users to generate images from within the program. It offers a variety of features, including inpainting, outpainting, generating images from scratch, refining existing content, live painting, and control over image creation. The plugin is designed to fit into an interactive workflow where AI generation is used as just another tool while painting. It is meant to synergize with traditional tools and the layer stack.
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sweep
Sweep is an AI junior developer that turns bugs and feature requests into code changes. It automatically handles developer experience improvements like adding type hints and improving test coverage.
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teams-ai
The Teams AI Library is a software development kit (SDK) that helps developers create bots that can interact with Teams and Microsoft 365 applications. It is built on top of the Bot Framework SDK and simplifies the process of developing bots that interact with Teams' artificial intelligence capabilities. The SDK is available for JavaScript/TypeScript, .NET, and Python.
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ai-guide
This guide is dedicated to Large Language Models (LLMs) that you can run on your home computer. It assumes your PC is a lower-end, non-gaming setup.
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classifai
Supercharge WordPress Content Workflows and Engagement with Artificial Intelligence. Tap into leading cloud-based services like OpenAI, Microsoft Azure AI, Google Gemini and IBM Watson to augment your WordPress-powered websites. Publish content faster while improving SEO performance and increasing audience engagement. ClassifAI integrates Artificial Intelligence and Machine Learning technologies to lighten your workload and eliminate tedious tasks, giving you more time to create original content that matters.
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chatbot-ui
Chatbot UI is an open-source AI chat app that allows users to create and deploy their own AI chatbots. It is easy to use and can be customized to fit any need. Chatbot UI is perfect for businesses, developers, and anyone who wants to create a chatbot.
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BricksLLM
BricksLLM is a cloud native AI gateway written in Go. Currently, it provides native support for OpenAI, Anthropic, Azure OpenAI and vLLM. BricksLLM aims to provide enterprise level infrastructure that can power any LLM production use cases. Here are some use cases for BricksLLM: * Set LLM usage limits for users on different pricing tiers * Track LLM usage on a per user and per organization basis * Block or redact requests containing PIIs * Improve LLM reliability with failovers, retries and caching * Distribute API keys with rate limits and cost limits for internal development/production use cases * Distribute API keys with rate limits and cost limits for students
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uAgents
uAgents is a Python library developed by Fetch.ai that allows for the creation of autonomous AI agents. These agents can perform various tasks on a schedule or take action on various events. uAgents are easy to create and manage, and they are connected to a fast-growing network of other uAgents. They are also secure, with cryptographically secured messages and wallets.
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griptape
Griptape is a modular Python framework for building AI-powered applications that securely connect to your enterprise data and APIs. It offers developers the ability to maintain control and flexibility at every step. Griptape's core components include Structures (Agents, Pipelines, and Workflows), Tasks, Tools, Memory (Conversation Memory, Task Memory, and Meta Memory), Drivers (Prompt and Embedding Drivers, Vector Store Drivers, Image Generation Drivers, Image Query Drivers, SQL Drivers, Web Scraper Drivers, and Conversation Memory Drivers), Engines (Query Engines, Extraction Engines, Summary Engines, Image Generation Engines, and Image Query Engines), and additional components (Rulesets, Loaders, Artifacts, Chunkers, and Tokenizers). Griptape enables developers to create AI-powered applications with ease and efficiency.