pythia
stable-diffusion-webui
pythia | stable-diffusion-webui | |
---|---|---|
7 | 2,808 | |
2,072 | 131,658 | |
3.9% | - | |
7.8 | 9.9 | |
20 days ago | about 23 hours ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | MIT |
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pythia
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If you can't reproduce the model then it's not open-source
You can grep for bad words. What you can't do(unless hoops are jumped through) is to verify that weights came from the same dataset. You can set the same random seed and still get different results. Calculations are not that deterministic. (https://pytorch.org/docs/stable/notes/randomness.html#reprod...).
>I am overall skeptical that this is true in the case of LLMs
This skepticism seems reasonable. EleutherAI have documentation to reproduce training (https://github.com/EleutherAI/pythia#reproducing-training). So far I haven't seen it leading to anything.
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Local Alternatives of ChatGPT and Midjourney
LLaMA, Pythia, RWKV, Flan-T5 (self-hosted), FlexGen
- Ask HN: Open source LLM for commercial use?
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A New AI Research Proposes Pythia: A Suite of Decoder-Only Autoregressive Language Models Ranging from 70M to 12B Parameters
Github: https://github.com/EleutherAI/pythia
- Pythia: Interpreting Autoregressive Transformers Across Time and Scale
- AI computing startup Cerebras releases open source ChatGPT-like models
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Is there a way to easily train ChatGPT or GPT on custom knowledge?
Pythia is another smaller option that seems to have pretty good performance. As well as FLAN. Both of those are okay for commercial use AFAIK (though double check for yourself).
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?
lollms-webui - Lord of Large Language Models Web User Interface
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]
geov - The GeoV model is a large langauge model designed by Georges Harik and uses Rotary Positional Embeddings with Relative distances (RoPER). We have shared a pre-trained 9B parameter model.
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
GLM-130B - GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
SHARK - SHARK - High Performance Machine Learning Distribution
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.
lora - Using Low-rank adaptation to quickly fine-tune diffusion models.
ChatGLM-6B - ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
stanford_alpaca - Code and documentation to train Stanford's Alpaca models, and generate the data.
safetensors - Simple, safe way to store and distribute tensors