easydiffusion
openai-cookbook
easydiffusion | openai-cookbook | |
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16 | 215 | |
9,116 | 55,954 | |
1.8% | 1.0% | |
9.4 | 9.5 | |
9 days ago | 7 days ago | |
JavaScript | MDX | |
GNU General Public License v3.0 or later | MIT License |
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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.
openai-cookbook
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Question-Answer System Architectures using LLMs
A pretrained LLM is a closed-book system: It can only access information that it was trained on. With domain fine-tuning, the system manifests additional material. An early prototype of this technique was shown in this OpenAi cookbook: For the target domain, text was embedded using an API, and then when using the LLM, embeddings were retrieved using semantic similarity search to formulate an answer. Although this approach evolved to retrieval-augmented generation, its still a technique to adapt a Gen2 (2020) or Gen3 (2022) LLM into a question-answering system.
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Ask HN: High quality Python scripts or small libraries to learn from
https://github.com/openai/openai-cookbook/blob/main/examples...
- Collection of notebooks showcasing some fun and effective ways of using Claude
- OpenAI Cookbook: Techniques to improve reliability
- OpenAI Cookbooks
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How to fine tune vit/convnet to focus on the layout of the input room image and ignore other things ?
It sounds like you are trying to tweak embeddings for similarity search. Rather than fine-tune the model's layers, you may want to try training a linear transformation the existing model's output embedding. Openai has a cookbook on how to do that. You will need some data though - but I think you can try it with ~20 pieces of synthetically generated data.
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Best base model 1B or 7B for full finetuning
tutorial from OpenAI https://github.com/openai/openai-cookbook/blob/main/examples/Question_answering_using_embeddings.ipynb
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Resources to learn ChatGPT and the OpenAI API
OpenAI Cookbook
- OpenAI Cookbook
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Another Major Outage Across ChatGPT and API
OpenAI community repo with lots of examples: https://github.com/openai/openai-cookbook
What are some alternatives?
stable-diffusion
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
stable-diffusion-webui - Stable Diffusion web UI
gpt4-pdf-chatbot-langchain - GPT4 & LangChain Chatbot for large PDF docs
SillyTavern - LLM Frontend for Power Users.
chatgpt-retrieval-plugin - The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
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.
askai - Command Line Interface for OpenAi ChatGPT
stable-diffusion-colab - Adapdet for google colab
gpt_index - LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data. [Moved to: https://github.com/jerryjliu/llama_index]
HidamariDiffusionColab - colab for stable diffusion
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows