pixray VS disco-diffusion

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.

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.

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:

This is also hardware-hungry I'm afraid, this uses Pixray here: https://github.com/pixray/pixray

Thanks! I'm using Pixray: https://github.com/pixray/pixray

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 :)

Disco-diffusion, a framework like Stable, which came out about 13 months ago: https://github.com/alembics/disco-diffusion

Runner-ups are Craiyon (for being more "creative" than SD), Disco Diffusion, minDALL-E, and CLIP Guided Diffusion.

From the Disco Diffusion GitHub, "“A frankensteinian amalgamation of notebooks, models and techniques for the generation of AI Art and Animations.”

Google Colab is probably the easiest way to run DD. To find the most recent version go to the GitHub page and then open the link to the Colab. Initially, you'll probably just want to experiment with the prompts. But there's also Zippy's Disco Diffusion Cheatsheet v0.3 which can be a useful place to learn more.

You can probably port Disco Diffusion pretty easily. It’s available on Google Colab, so should be straightforward. Their GitHub is: https://github.com/alembics/disco-diffusion

https://www.reddit.com/r/DiscoDiffusion/, https://github.com/alembics/disco-diffusion. As far as I'm aware the only way to use this is via Google Colab. Rather difficult to use because of this.

https://github.com/alembics/disco-diffusion,