Ever wanted to start generating your own unique creations using your own custom dreambooth model, but didn't have any idea where to start or what settings to choose? Well, one of our users decided to put together this epically comprehensive guide by running a ton of tests on RunPod! I'm

While working in a terminal window is sometimes good enough, it's much nicer to work within your IDE if you are doing interactive development. Fortunately, you can connect your VSCode IDE to your RunPod instance via SSH. This will allow you to edit files and code on your remote instance

TheLastBen recently updated our fast stable diffusion template with the offset noise functionality in dreambooth! To turn it on, start up the template and connect to the jupyter link. Then just flip the Offset_Noise variable to "True" and increase your total steps by 10-20% - that's it! Apparently this

AI is the latest frontier for artists, providing new opportunities for creativity and expression. While stable diffusion is the latest rage and is much faster, you can't beat the artistic aesthetic that comes out of good ol' DD. Disco Diffusion models are a great way to create some stunning pieces.

Have you ever wanted to create your own serverless automatic1111 endpoint with a custom model of your choice that can scale up and down? Now you can do so without much hassle by following this guide! Pre-requisites A computer (local or cloud) with the following: * docker installed * git installed * a

Ever wanted to try invoke ai's awesome stable diffusion infinite canvas out, but didn't want to go through the hassle of installing a bunch of stuff? Maybe you just don't have a local GPU that can run it fast enough? No worries, we've got you covered with our easy deploy

We've been hearing that a lot of people have been having trouble getting stable diffusion to work on cloud compute platforms. We now have a simple template that will let you get started with minimal fuss! If you need to know the basics of how to start a pod, you

Here's a quick and dirty guide to getting Huemin's JAX diffusion to run on runpod! Today I figured I'd switch things up a bit and leave you a gif quick start instead of the usual article. It only takes a few minutes to get started with this and all the

Image generation has evolved tremendously over the last couple of years. Generative Adversarial Networks have emerged as state-of-the-art in the field of image generation, the latest iteration of which is StyleGAN3. What is StyleGAN3? GAN is an acronym for "generative adversarial network" – a machine learning framework where two neural networks

You could schedule advanced stuff like cuts before, but now you can schedule PROMPTS in Disco Diffusion! That means that you can alter the prompt over the course of your diffusion steps to achieve some really awesome results. Read more to find out how! DiscoArt, the platform that RunPod's Disco

Have you ever wanted to get your hands dirty with Disco Diffusion, but aren't a big fan of making sure your syntax is right? What about if you wanted to do a bunch of different settings variations in one go? While there are plenty of options for generative art with

We've been sailing smoothly with entmike's fork of Disco Diffusion for a little while now. We recently caught wind of the discoart fork – and wow, is it good. We've made the decision to migrate both RunPod and Fever Dreams to use discoart as a base. Shoutout to Jina.ai for

If you didn't know, every Disco Diffusion render needs to start with some kind of input. If you aren't using an init image, this input is Perlin noise, which is kind of like old school TV static. In this article, we're going to introduce another method of initialing your render:

Google Colab Pro Plus costs $50 with a chance to get a V100 or (in rare cases) a A100 GPU. Meanwhile, with RunPod's GPU Cloud pay-as-you go model, you can get guaranteed GPU compute for as low as $0.2/hour. We hear Google Colab Pro mentioned a lot, and

At RunPod, we're always looking to offer more value to our clients. One of the things we take seriously is security. To this end, we have implemented the ability to encrypt your persistent volumes. RunPod now offers encrypted volumes! This means that you have the option to choose your level

While RunPod offers persistent volume storage for your pods, we understand that many users would like to have a cloud backup in order to avoid idle storage charges or to be able to move their work to a new pod if the need arises. RunPod Cloud Sync offers several integrations

It looks like some of you are used to Google Colab's interface and would prefer to use that over the command line or JupyterLab's interface. Well, good news, you can connect Colab to use your own custom compute instead of the GPU that they assign to you! Unfortunately, Google won't

There are a few use cases for running a GPU accelerated virtual desktop on RunPod. One common use case is for those who need to use demanding applications that require a lot of processing power, such as 3D rendering with Blender. In this blog post, we'll go over how to

We've gotten a lot of questions around "spot" instances vs "on-demand" instances. While these terms are familiar to those who have used AWS EC2 instances in the past, it's clear that many people are not familiar with these terms. Let's do a quick summary of the pros and cons of

The fastest way to get access to a custom pod is to use our basic terminal access feature. This works with any custom container that you want to run on RunPod, whether or not it has a built in SSH daemon or exposed ports. Do be aware that there are

Are you tired of using someone else's container, only to find out that they have the wrong versions of your tools installed? Maybe you have just installed everything from scratch every time you wanted to start over and thought to yourself, "this is a waste of time"? I've personally gone

RunPod allows you to get a terminal access pretty easily, but it does not run a true SSH daemon by default. There are plenty of use cases, like needing to SCP or connecting an IDE that would warrant running a true SSH daemon inside the pod. We'll go through the