easydiffusion
gpt4all
| easydiffusion | gpt4all | |
|---|---|---|
| 16 | 139 | |
| 9,116 | 64,686 | |
| 1.8% | 2.7% | |
| 9.4 | 9.8 | |
| 9 days ago | 6 days ago | |
| JavaScript | C++ | |
| GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
easydiffusion
-
What ai do you use I need help
Stable diffusion because it's free and has tons of customization, EasyDiffusion is the simplest to install. But you should download custom models from Civit.ai because the default one is bad.
-
Information for some people new to AI or intermediate levels.
A simple 1-click way to create beautiful artwork on your computer using AI. No dependencies or technical knowledge required. https://easydiffusion.github.io/
-
Go is bigger than crab!
Easy Diffusion
-
Dalle-3 Examples
Easydiffusion is what I use. I jumped in way past when it was just a CLU. https://easydiffusion.github.io/
- Sortie de Easy diffusion 3.0, support de SDXL !
- EasyDiffusion 3.0 released with SDXL, ControlNet, LoRA, lower RAM, and more
-
Trying out SDXL without GPU
install EasyDiffusion (https://github.com/easydiffusion/easydiffusion/)
-
Stability AI releases its latest image-generating model, Stable Diffusion XL 1.0
Easy Diffusion (previously cmdr2 UI) can run SDXL in 768x768 in about 7 GB of VRAM. And SDXL 512x512 in about 5 GB of VRAM.
Regular SD can run in less than 2 GB of VRAM with Easy Diffusion.
1. Installation (no dependencies, python etc): https://github.com/easydiffusion/easydiffusion#installation
-
Build Personal ChatGPT Using Your Data
Easiest 1-click way to install and use Stable Diffusion on your computer."
https://github.com/easydiffusion/easydiffusion
And while Whisper is OpenAI, it is trivial to use locally and extremely usefull
https://github.com/chidiwilliams/buzz
-
Ai donghua
I would install automatic1111. If you can't try easy diffusion first. Once you get advance you can install comfyUI and controlnet addon.
gpt4all
- Show HN: I made an app to use local AI as daily driver
-
Ollama Python and JavaScript Libraries
I don’t know if Ollama can do this but https://gpt4all.io/ can.
-
Ask HN: How do I train a custom LLM/ChatGPT on my own documents in Dec 2023?
Gpt4all is a local desktop app with a Python API that can be trained on your documents: https://gpt4all.io/
-
WyGPT: Minimal mature GPT model in C++
The readme page is cryptic. What does 'mature' mean in this context? What is the sample text a continuation of?
Hving a gif the thing in use would be great, similar to the gpt4all readme page. (https://github.com/nomic-ai/gpt4all)
-
LibreChat
Check https://github.com/nomic-ai/gpt4all instead.
-
OpenAI Negotiations to Reinstate Altman Hit Snag over Board Role
"I ran performance tests on two systems, here's the results of system 1, and heres the results of system 2. Summarize the results, and build a markdown table containing x,y,z rows."
"extract the reusable functions out of this bash script"
"write me a cfssl command to generate a intermediate CA"
"What is the regex for _____"
"Here are my accomplishments over the last 6 months, summarize them into a 1 page performance report."
etc etc etc
If you're not using GPT4 or some LLM as part of your daily flow you're working too hard.
Get GPT4All (https://gpt4all.io), log into OpenAI, drop $20 on your account, get a API key, and start using GPT4.
-
Darbe uzdraude naudotis CHATGPT: ar cia normalu?
offline versija, nors ir ne tokia pažengus - https://github.com/nomic-ai/gpt4all ; https://gpt4all.io/index.html
- GPT4All: An ecosystem of open-source on-edge large language models - by Nomic AI
-
Why use OpenAI's ChatGPT3.5 online service, if you can instead host your own local llama?
Take a look at https://gpt4all.io, their docs are pretty awesome
-
Ask HN: Are you using a local LLM? If yes, what for?
I run one. I built an iMessage-like frontend to it using plain JS and a Python websocket backend. I mostly just use it for curiosity and playing with different prompts. I only have 16GB of RAM to dedicate to it, so I use an 8B parameter model which is enough for fun and chitchat, but I don't find it good enough to replace ChatGPT.
https://github.com/nomic-ai/gpt4all
What are some alternatives?
stable-diffusion
llama.cpp - LLM inference in C/C++
stable-diffusion-webui - Stable Diffusion web UI
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
SillyTavern - LLM Frontend for Power Users.
private-gpt - Interact with your documents using the power of GPT, 100% privately, no data leaks
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.
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
stable-diffusion-colab - Adapdet for google colab
alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM
HidamariDiffusionColab - colab for stable diffusion
TavernAI - Atmospheric adventure chat for AI language models (KoboldAI, NovelAI, Pygmalion, OpenAI chatgpt, gpt-4)