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Preface After installing sdwebui locally and getting familiar with the interface, you might feel lost about how to actually generate images. You can start by setting a few small goals: 1. Find an IP, anime character, or celebrity you like, and try generating images of them. 2. Take an ordinary photo of yourself and try swapping it into a cool scene.
Preface: The previous chapters covered SD installation. This chapter introduces the sdwebui interface. Introduction: From top to bottom it includes: Model selection area for choosing checkpoint models, main function tabs for switching between features like txt2img, img2img, and PNG info, prompt area, generation parameters area, and image preview area.
Preface: This section introduces the sdwebui file structure. https://github.com/AUTOMATIC1111/stablediffusionwebui. File Structure: configs - configuration files, embeddings - embedding files, extensions-builtin - built-in extensions, extensions - user extensions.
Preface: The previous section covered how to install Stable Diffusion on Mac. The Linux installation is quite similar. This section introduces how to install SD on Linux.
Preface sdwebui has many startup arguments. This article analyzes them one by one. Startup Arguments The argument parsing is located in modules/cmd_args.py. -f: Allow root user to start. --update-all-extensions: Update all extensions on startup. --skip-python-version-check: Skip Python version check.
Preface: Currently there are several common approaches for AIGC image generation: 1. SD image generation, 2. Midjourney image generation, 3. Other large model image generation. This section covers SD introduction and Mac installation.