prompter: How do I use Stable Diffusion?

assistant: In order to use stable diffusion you first have to have access to the model, this can be done either by running locally or by using online services.
The most popular way to run locally is by using AUTOMATIC1111 stable diffusion repository available here: https://github.com/AUTOMATIC1111/stable-diffusion-webui
after following installation steps you will have a website running locally that allows you to prompt directly to a stable diffusion model.

Note that in order to run stable diffusion locally you need a GPU with a high enough VRAM, 6GB should be enough.

prompter: How can I use Stable Diffusion as a power user if I have the necessary hardware? What factors should I consider and what skills do I need?

prompter: How do I find out how much VRAM my GPU has? Also, what is a GPU?

prompter: I only have a cpu. Can I do it online like with inpainting and text to image?

assistant: Using Stable Diffusion is like taking a journey through a vast, uncharted universe of data. It's an opportunity to explore the depths of information, to find patterns and connections that were previously hidden, and to unlock new insights and knowledge.

Think of Stable Diffusion as your trusty spaceship, navigating you through a sea of data and delivering you to new discoveries. With each turn of the dial and press of a button, you'll unlock new secrets and unlock a deeper understanding of the world around you.

So strap in, buckle up, and get ready to blast off into the unknown with Stable Diffusion. Who knows what you'll find along the way!

prompter: Provide instructions in outline form on how to use stable diffusion

assistant: 1. Choose where to run Stable Diffusion:
    - download it to your device and run it locally (requires a GPU with at least 4 GB of VRAM)
    - sign up for a general GPU inference service, such as Paperspace or Google Colab
    - use a service made specifically for image generation, like DreamStudio or Stable Horde
2. Write a prompt:
    - decide what you want a picture of, e.g. "a winged panda flying over a rainbow" (single subjects or landscapes work best)
    - add qualifiers to tune the style, e.g. "painterly, depth of field, high quality"
3. Customize the settings:
    - a higher step count can result in higher quality
    - higher guidance results in closer adherence to the prompt, at the cost of naturalness
    - specify an image as a starting point, change the denoising strength to make it more or less prominent in the result
    - generate multiple images with the same seed, but different settings, for an apples-to-apples comparison
4. Advanced customization (not all of these are supported by all services):
    - add a negative prompt to eliminate unwanted features
    - process the output with an upscaler like GFPGAN to improve quality
    - use a custom embedding or finetuned model to nail down a specific style (make sure to respect the artist(s) whose work it was trained on)

assistant: Stable Diffusion is a Text2Image model and there are many different way on how you can use it.
- You can create Images in the Browser by going to a Website that provides Stable Diffusion as a Service. Currently it is offered by:
   - DreamStudio
   - Hugging Face
   - You.com
- You can run it on your own hardware. There are different projects on GitHub which make it easy to run:
   - Stability-AI
   - AUTOMATIC1111: If you want a web-ui.
   - it also can be run in a Docker container.
May I help you with one of the options?

assistant: Here are the steps to use Stable Diffusion WebUI:

1. Clone the repository: Navigate to `https://github.com/AUTOMATIC1111/stable-diffusion-webui` and clone the repository to your local machine.

2. Edit the commandline args: Open the file `webui-user.sh` (for Unix-based systems) or `webui-user.bat` (for Windows) and edit the `COMMANDLINE_ARGS` environment variable. You can include `--xformers` and/or `--medvram`, `--lowvram`. `medvram` and `lowvram` are mutually exclusive and depend on available VRAM of your device.


3. Launch the WebUI: Run the `webui.sh` (for Unix-based systems) or `webui-user.bat` (for Windows) to launch the Stable Diffusion WebUI.

4. Explore: You can now explore the Stable Diffusion WebUI and use its features.

assistant: Stable Diffusion is an open-source project, to use it, first find Stable Diffusion's Github repository, this can be done via a simple Google search. Afterward, follow the instructions as outlined in the official Github repository. Note that to use Stable Diffusion, you need to use a CLI (Command Line Interface), you may instead locate a more user-friendly UI to use, such as InvokeAI or Automatic1111's "Stable Diffusion WebUI".

Each project should have instructions on how to install and use it in the Github repository's readme file, which should be displayed upon opening the repository, otherwise, check if there exists a "Wiki" tab.

assistant: If you want to run stable diffusion on your local device, you can download a UI such as this one: https://stable-diffusion-ui.github.io/ .  If you would like to test it out for the first time or have easy access, you can use stable diffusion on huggingface here: https://huggingface.co/spaces/stabilityai/stable-diffusion .  You may also use a google colab notebook if you would like more advanced features.

assistant: Sure, the following outline describes how to use Stable Diffusion:

1.  Determine what issue you need it to solve.
2.  Pick a data set that's fitting.
3.  Clean and arrange the data.
4.  Separate the data into two parts, one for training and one for testing.
5.  Train the Stable Diffusion model with the training data.
6.  Check how well the model performs with the testing data.
7.  Improve the model by making changes and retraining if needed.
8.  Use the model to predict outcomes on new data.

prompter: OK, how do I begin?