easydiffusion
private-gpt
| easydiffusion | private-gpt | |
|---|---|---|
| 16 | 131 | |
| 9,116 | 51,882 | |
| 1.8% | 2.6% | |
| 9.4 | 9.2 | |
| 9 days ago | 4 days ago | |
| JavaScript | Python | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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
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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.
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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/
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Go is bigger than crab!
Easy Diffusion
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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
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Trying out SDXL without GPU
install EasyDiffusion (https://github.com/easydiffusion/easydiffusion/)
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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
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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
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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.
private-gpt
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Ask HN: Has Anyone Trained a personal LLM using their personal notes?
PrivateGPT is a nice tool for this. It's not exactly what you're asking for, but it gets part of the way there.
https://github.com/zylon-ai/private-gpt
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PrivateGPT exploring the Documentation
Further details available at: https://docs.privategpt.dev/api-reference/api-reference/ingestion
- Show HN: I made an app to use local AI as daily driver
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privateGPT VS quivr - a user suggested alternative
2 projects | 12 Jan 2024
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Ask HN: How do I train a custom LLM/ChatGPT on my own documents in Dec 2023?
Run https://github.com/imartinez/privateGPT
Then
make ingest /path/to/folder/with/files
Then chat to the LLM.
Done.
Docs: https://docs.privategpt.dev/overview/welcome/quickstart
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Mozilla "MemoryCache" Local AI
PrivateGPT repository in case anyone's interested: https://github.com/imartinez/privateGPT . It doesn't seem to be linked from their official website.
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What Is Retrieval-Augmented Generation a.k.a. RAG
I’m preparing a small internal tool for my work to search documents and provide answers (with references), I’m thinking of using GPT4All [0], Danswer [1] and/or privateGPT [2].
The RAG technique is very close to what I have in mind, but I don’t want the LLM to “hallucinate” and generate answers on its own by synthesizing the source documents. As stated by many others, we’re living in interesting times.
[0] https://gpt4all.io/index.html
[1] https://www.danswer.ai/
[2] https://github.com/imartinez/privateGPT
- LM Studio – Discover, download, and run local LLMs
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Ask HN: Local LLM Recommendation?
https://www.reddit.com/r/LocalLLaMA/comments/14niv66/using_a...
https://github.com/imartinez/privateGPT
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Run ChatGPT-like LLMs on your laptop in 3 lines of code
I've been playing around with https://github.com/imartinez/privateGPT and https://github.com/simonw/llm and wanted to create a simple Python package that made it easier to run ChatGPT-like LLMs on your own machine, use them with non-public data, and integrate them into practical applications.
This resulted in Python package I call OnPrem.LLM.
In the documentation, there are examples for how to use it for information extraction, text generation, retrieval-augmented generation (i.e., chatting with documents on your computer), and text-to-code generation: https://amaiya.github.io/onprem/
Enjoy!
What are some alternatives?
stable-diffusion
localGPT - Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
stable-diffusion-webui - Stable Diffusion web UI
gpt4all - gpt4all: run open-source LLMs anywhere
SillyTavern - LLM Frontend for Power Users.
h2ogpt - Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai/
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.
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
stable-diffusion-colab - Adapdet for google colab
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
HidamariDiffusionColab - colab for stable diffusion
llama.cpp - LLM inference in C/C++