Hacklahoma-AI-Image-Workshop/README.md

# Hacklahoma AI Image Workshop (Fall 2023)

## Launching a Stable Diffusion Instance on Cloud

Go to [Google Cloud](https://console.cloud.google.com) (or any other cloud provider), and open console. 
[Trial $300 Google Cloud credits](https://cloud.google.com/free/docs/free-cloud-features). 

_Since Google Cloud seems to be very busy, I will use [RunPod](https://www.runpod.io/console/pods) in my demo today._

Create a VM with a GPU, at least 15GB RAM, and 30GB disk. Connect to SSH, install git, and clone this [Automatic1111 (A1111) repository](https://github.com/AUTOMATIC1111/stable-diffusion-webui).

`cd` in to the cloned directory and run:
```
$ bash ./

```

## text2img

Background: `text2img` can be thought of as generating visual content based on textual descriptions. Popular models include [DALL-E](https://openai.com/dall-e-2), [Midjourney](https://www.midjourney.com/home), and [Stable Diffusion](https://stability.ai/blog/stable-diffusion-public-release).

![](images/sd-latent-space.jpg)



## ControlNet (+ Stable Diffusion)

![](images/cn-sd.png)


Install extension for A1111: [`sd-webui-controlnet`](https://github.com/Mikubill/sd-webui-controlnet)