stable-diffusion-webui-pixelization
DALLE-mtf
stable-diffusion-webui-pixelization | DALLE-mtf | |
---|---|---|
6 | 41 | |
535 | 436 | |
- | 0.2% | |
4.4 | 0.0 | |
2 months ago | over 2 years ago | |
Python | Python | |
MIT License | MIT License |
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stable-diffusion-webui-pixelization
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New pixel art extension
Pixelization extension is ok. It uses several models to produce a pixelated image. But sometimes it gives strange results, and i have no control over color palette, dithering, and quantization. It's a good, quick solution.
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Futurism: "The Company Behind Stable Diffusion Appears to Be At Risk of Going Under"
Astropulse makes a good model but it's paid. You can get good results using Pixhell from CivitAI and running it through the pixelation filter. https://github.com/AUTOMATIC1111/stable-diffusion-webui-pixelization.git
- Controlnet + Pixhell Lora + Pixel art script in Automatic1111 to generate pixelart versions of movie shots
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I need help i want to make some pixel art sprites using SD but I'm not getting anywhere
You might be interested in the pixelization extension for the auto webui: https://github.com/AUTOMATIC1111/stable-diffusion-webui-pixelization
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PIXHELL 2.1 LoRA
:) my apologies , still getting used to Reddit here :D , i was saying there to use pixelart extention with Automatic1111 this one: https://github.com/AUTOMATIC1111/stable-diffusion-webui-pixelization this way the result you generate gives you overall "feel and look of a pixelart" and with this extension you can pre-define how big the pixels are and so on depending on your needs. This way you can get the style of an image you're going for, and then apply the proper 8bit pixelization on it :) hope that helps.
- Any tips on getting 8 bit art to look like this?
DALLE-mtf
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How Open is Generative AI? Part 2
This vision is in line with EleutherAI, a non-profit organization founded in July 2020 by a group of researchers. Driven by the perceived opacity and the challenge of reproducibility in AI, their goal was to create leading open-source language models.
- The open source learning curve for AI researchers
- EleutherAI: Empowering Open-Source Artificial Intelligence Research
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Seeking advice on fine-tuning Pythia for semantic search in a non-English language
My current idea is to utilize the EleutherAI pythia (Databricks Dolly). I would like to know whether translating the Dolly-15k dataset into the desired language using state-of-the-art translation techniques like DeepL would be a viable approach to fine-tune the Pythia base model. I want to use this model for semantic search, so perfection is not a necessity.
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Does anyone want to collaborate to make anti-capitalist AI?
There are open source AI efforts, like EleutherAI. Needless to say, they are lagging behind big players, but it's better than nothing.
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ChatGPT is bonkers.
The new GPT 3.5 isn't aware what are GPT-3.5 or davinci-002 (repeatable) and claimed that it was designed by EleutherAI and has only 6 bil parameters (wasn't been able to repeat but didn't really try).
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My teacher has falsely accused me of using ChatGPT to use an assignment.
Hi, my name is Stella Biderman and I run EleutherAI, the one of the foremost non-profit research institutes in the world that trains and studies large language models. I have been involved with the majority of models to hold the title “largest open source GPT model in the world” and have dabbled in exploring using plagiarism detection tools to identify code written by GPT-J.
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dolly-v2-12b
dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA)
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Futurism: "The Company Behind Stable Diffusion Appears to Be At Risk of Going Under"
It is true that Emad needs to find an appropriate business model. The good news is that the hype is still undergoing. I'm sure that Emad can grab another round of liquidity injection. He got plenty of resources. Remember he is also from the finance industry. He got https://www.eleuther.ai/ which can supply a secured, in-house custom LLM equivalent to bloombergGPT.
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How can AI be used to protect against exploitative use of other AI?
By promoting fully open-source AI, i.e. making datasets, models, methodology and codebases freely available and transparent. What OpenAI claimed to be aiming for, basically.
What are some alternatives?
PXL8 - Pixel art diffusion
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
sd-pixel - Quickly and easily perform downscaling, color palette limiting, and other useful pixel art effects through the extras tab.
CLIP-Guided-Diffusion - Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.
stable-diffusion-webui-scripts
dalle-mini - DALL·E Mini - Generate images from a text prompt
RWKV-LM - RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
big-sleep - A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
nQuantCpp - nQuantCpp includes top 6 color quantization algorithms for visual c++ producing high quality optimized images.
gpt-3 - GPT-3: Language Models are Few-Shot Learners
stable-diffusion-webui - Stable Diffusion web UI
DALLE-pytorch - Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch