empirical-philosophy
stable-diffusion-webui
empirical-philosophy | stable-diffusion-webui | |
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9 | 2,808 | |
141 | 130,470 | |
- | - | |
2.5 | 9.9 | |
about 1 year ago | 6 days ago | |
TypeScript | Python | |
- | MIT |
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empirical-philosophy
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Google “We Have No Moat, and Neither Does OpenAI”
One way that I've been framing this in my head (and in an application I'm building) is that gpt-3 will be useful for analytic tasks where as gpt-4 will be required for synthetic tasks. I'm using "analytic" and "synthetic" in the same way as in this writeup https://github.com/williamcotton/empirical-philosophy/blob/m...
- How ReAct Prompting Works in Detail
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Ask HN: People who were laid off or quit recently, how are you doing?
Hey Simon! I've been digging your writings on LLMs lately.
I've been having some decent luck with some of the approaches that I've discussed in the following articles and projects:
From Prompt Alchemy to Prompt Engineering: An Introduction to Analytic Augmentation: https://github.com/williamcotton/empirical-philosophy/blob/m...
https://www.williamcotton.com/articles/writing-web-applicati...
https://github.com/williamcotton/transynthetical-engine
I'd love to hear your thoughts on the matter!
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We need to tell people ChatGPT will lie to them, not debate linguistics
You’re not actually doing any research.
Here is my research: https://github.com/williamcotton/empirical-philosophy/blob/m...
It is clear that analytic augmentations will result in more factual information.
Your claims are unfounded and untested.
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ChatGPT and Wolfram Is Insane
Take a look at
https://github.com/williamcotton/empirical-philosophy/blob/m...
https://langchain.readthedocs.io/en/latest/
They can be taught!
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Prompt Engineering Guide: Guides, papers, and resources for prompt engineering
I've been developing a methodology around prompt engineering that I have found very useful:
https://github.com/williamcotton/empirical-philosophy/blob/m...
A few more edits and it's ready for me to submit to HN and then get literally no further attention!
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Professor writes history essays with ChatGPT and has students correct them
That's not a rebuttable of a claim that Bing is more accurate.
A proper rebuttable would involve empirical evidence that Bing is no more accurate than other LLM tools that do not add analytical augmentations such as search results to their prompts.
Based on empirical evidence, I find that analytical augmentations do indeed result in more accurate results:
https://github.com/williamcotton/empirical-philosophy/blob/m...
stable-diffusion-webui
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Show HN: I made an app to use local AI as daily driver
* 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
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AMD Funded a Drop-In CUDA Implementation Built on ROCm: It's Open-Source
I would love to be able to have a native stable diffusion experience, my rx 580 takes 30s to generate a single image. But it does work after following https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki...
I got this up and running on my windows machine in short order and I don't even know what stable diffusion is.
But again, it would be nice to have first class support to locally participate in the fun.
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Ask HN: What is the state of the art in AI photo enhancement?
In Auto1111, that just uses Image.blend. :)
https://github.com/AUTOMATIC1111/stable-diffusion-webui/blob...
- How To Increase Performance Time on MacOS
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Can anyone suggest an AI model that can help me enhance a poorly drawn logo?
I used SDXL in automatic1111 webui for both images. Now that I think about it, the procedure I described was how I made this one, but the one that looks like an illustration was done in two steps. I used the canny ControlNet as I said for the outer part of the logo to preserve the shape of the fonts, but I had to turn it off for the boot to give SDXL leeway to add detail and make it look more like a boot.
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Seeking out an experienced and empathetic coding buddy.
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.
- can't get it working with an AMD gpu
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SD extension that allows for setting override
Possibly Unprompted? https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/8094
- Need to write an application to use Stable Diffusion on my desktop PC - which resource should I learn to use?
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4090 Speed Decrease on each Generation/Iteration
version: v1.6.1 • python: 3.10.13 • torch: 2.0.1+cu118 • xformers: 0.0.20 • gradio: 3.41.2 • checkpoint: 6e8d4871f8
What are some alternatives?
magma-chat - Ruby on Rails 7-based ChatGPT Bot Platform
stable-diffusion-ui - Easiest 1-click way to install and use Stable Diffusion on your computer. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image. [Moved to: https://github.com/easydiffusion/easydiffusion]
pal - PaL: Program-Aided Language Models (ICML 2023)
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
guardrails - Adding guardrails to large language models.
SHARK - SHARK - High Performance Machine Learning Distribution
datasette-chatgpt-plugin - A Datasette plugin that turns a Datasette instance into a ChatGPT plugin
lora - Using Low-rank adaptation to quickly fine-tune diffusion models.
transynthetical-engine - Applied methods of analytical augmentation to build tools using large-language models.
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.
serge - A web interface for chatting with Alpaca through llama.cpp. Fully dockerized, with an easy to use API.
safetensors - Simple, safe way to store and distribute tensors