pixray
min-dalle
pixray | min-dalle | |
---|---|---|
12 | 31 | |
1,012 | 3,474 | |
0.4% | - | |
0.0 | 0.0 | |
7 months ago | over 1 year ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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pixray
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[GPU] ASUS Refurbished GPU's RTX 3070 Dual Fan ($350) RTX 3070 Triple Fan ($380) RTX 3080 10GB ($550) Sold Direct from Asus - Free Shipping
Not sure I ran https://github.com/pixray/pixray, which I think is based off of VQGAN. It would fluctuate from 50-100 -> 300-400 watts every few seconds and my desk lamp on the same power strip would flicker dim every time it hit. I game all the time at that wattage, so I assume it was spiking well over 400 when it would kick up.
- Open source Python libraries for AI image generation that you can install on an Amazon GPU instance, like min(DALL-E) and Pixray?
- List of open source machine learning AI image generation/text-to-image libraries that can be installed on an Amazon GPU instance? e.g. MinDall-E, Disco Diffusion, Pixray
- Creating Pixel Art (2010)
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I used AI to create thematic art to cards of my game
I used code from https://github.com/pixray/pixray. It is not easy to use directly, and you need datacenter GPU to use pixray well. I ended up maintaining the texts at google sheets and running the model training at GCP Vertex AI infrastructure. I might open source the steps to do that later, but now the code is messy. Pixray does have an accessible web UI at https://replicate.com/pixray/text2image if you are interested to try it out. You can't control all parameters there though. The most recent famous AI art generator is https://openai.com/dall-e-2/, which has a wait list.
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Pixel art + cutting edge AI generation
This is a just-for-fun post. Over on the discord, Mylie and I have been getting heavily into GAN/CLIP style AI image generation, applied to pixel art with the pixeldrawer module of pixray. It has proven to be extremely fun to input Ultica art as a style guide and then use text prompts to generate new images. We've developed a new method for making seamless tiling pixel art, mixing the AI stuff with our own! Check these out:
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Stay Strong, Ukraine!
This is also hardware-hungry I'm afraid, this uses Pixray here: https://github.com/pixray/pixray
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I just released my first iOS app! It's a game where you guess what the movie is from the machine-learning generated pixel art image. Here's a playable demo for the iOS app!
Thanks! I'm using Pixray: https://github.com/pixray/pixray
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I am developing an online game in which you generate artworks using AI and run an art gallery. You can auction/display your art to other players and visit their galleries. These are examples of artworks based on the prompt "hellgate". Which do you like best? All used slightly different settings.
Can you expand? This looks like something generated by pixray (https://github.com/pixray/pixray), is that what you tweaked? Looks really cool.
They are! And you will be able to generate an unlimited number of them in my game. It is based off this implementation. Hope that helps :)
min-dalle
- Open source Python libraries for AI image generation that you can install on an Amazon GPU instance, like min(DALL-E) and Pixray?
- List of open source machine learning AI image generation/text-to-image libraries that can be installed on an Amazon GPU instance? e.g. MinDall-E, Disco Diffusion, Pixray
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Free/open-source AI Text-To-Image Models that can be run on AWS?
min(DALL·E).
- I'm building a timeline for generative image ML models. What's missing?
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DALL·E Now Available in Beta
Additionally, it's also open-sourced on GitHub and can be self-hosted, with easy instructions to do so: https://github.com/kuprel/min-dalle
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dalle update
For CPU, even highly-optimized models like mindalle are prohibitively slow.
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Hii everyone ,Can I build the dalle mini from scratch or not?? Please help!!
Maybe you would be interested in this GitHub repo.
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World of Warcraft Character Beanie Babies
These were generated with DALL-E Mega via min-dalle, which is a more advanced version of DALL-E Mini with better visual fidelity (less blurry) but otherwise similar results.
- Show HN: Generate webpage summary images with DALL-E mini
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"min(DALL·E)" is "a minimal implementation of Boris Dayma's DALL·E Mini in PyTorch. It has been stripped to the bare essentials necessary for doing inference." This uses the DALL-E Mega model. The Google Colab notebook using a Tesla T4 GPU takes 35 seconds to generate 4 images, and 17 seconds for 1.
GitHub repo (contains links to Colab notebook and web app at site Replicate[dot]com). The times mentioned in the title don't included setup time.
What are some alternatives?
DALL-E - PyTorch package for the discrete VAE used for DALL·E.
dalle-mini - DALL·E Mini - Generate images from a text prompt
pyxelate - Python class that generates pixel art from images
dalle-playground - A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)
glide-text2im - GLIDE: a diffusion-based text-conditional image synthesis model
CogVideo - Text-to-video generation. The repo for ICLR2023 paper "CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers"
disco-diffusion
imagen-pytorch - Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
monkey - Blitz Research Monkey Source
KoboldAI-Client
aseprite - Animated sprite editor & pixel art tool (Windows, macOS, Linux)
DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch