Stable Diffusion User Guide

Stable Diffusion is a powerful open-source deep learning model designed for image generation. Compared to other generative models, it stands out by creating high-quality images from text prompts and can run on standard hardware. This article will walk you through how to set up and use Stable Diffusion.

1. Installing Stable Diffusion

1. Install Conda: First, download and install Anaconda or Miniconda from the official Anaconda website.
   
   
2. Install dependencies: Open your terminal or command prompt and run the following commands to create a new environment and install the necessary packages:

   conda create --name stable-diffusion python=3.8
   conda activate stable-diffusion

   
   
3. Install Stable Diffusion: Download the source code from the Stable Diffusion GitHub page and run the following command:

   pip install -r requirements.txt

   
   

2. Generating Images with Stable Diffusion

1. Prepare a text prompt: Stable Diffusion generates images based on text descriptions. For example, if you want to create an image of “a unicorn in space,” you can use the following prompt:

   A unicorn in space, surrounded by stars and nebulae, vibrant colors.

   
   
2. Run the command: Use this command to generate an image:

   python scripts/txt2img.py --prompt "A unicorn in space, surrounded by stars and nebulae, vibrant colors." --plms

   
   
3. View the result: The generated image will be saved in the default folder. Open the folder to check the output.
   
   

3. Advanced Features

1. Image style customization: Add “in the style of Van Gogh” to the prompt for a Van Gogh-style painting.
   
   
2. Adjust image resolution: Use the --H and --W parameters to set the image height and width. For example:

   python scripts/txt2img.py --prompt "A sunset over the mountains" --H 512 --W 512

   
   
3. Iterative generation: Increase the number of iterations with the --iterations parameter for more refined images:

   python scripts/txt2img.py --prompt "A cityscape at night" --iterations 50

   
   

4. Important Notes

1. Hardware requirements: For optimal performance, it is recommended to use a GPU with at least 8GB of VRAM.
2. Legal and ethical considerations: Avoid generating copyrighted, illegal, or inappropriate content. Always follow local laws and ethical guidelines.