📅 2025-06-30 — Session: Set up and launched Stable Diffusion Web UI
🕒 11:20–15:05
🏷️ Labels: Stable Diffusion, Web Ui, Python, Troubleshooting, Automation
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal: The primary goal of this session was to set up and successfully launch the Stable Diffusion Web UI using Automatic1111 on a local environment and explore its functionalities.
Key Activities:
- Reviewed and analyzed machine learning model performance concepts such as variance, bias, and precision.
- Provided camera optimization tips for the Samsung Galaxy A05 to enhance photo quality.
- Conducted a detailed analysis of photos for business marketing purposes, including suggestions for image selection and editing.
- Set up the Automatic1111 UI on RunPod, addressing various deployment and troubleshooting issues, including resolving missing Python dependencies and fixing a corrupted virtual environment.
- Successfully rebuilt the virtual environment, installed necessary dependencies, and launched the UI with
launch.py, despite a non-blocking warning regardingjsonmerge. - Provided a workaround for a known bug in setuptools affecting
jsonmergeinstallation. - Guided on authenticating Jupyter Server and setting up ComfyUI workflow for image generation with Stable Diffusion.
- Confirmed the successful installation and running of the Stable Diffusion Web UI locally.
Achievements:
- Successfully set up and launched the Stable Diffusion Web UI, overcoming several technical challenges related to environment setup and dependency management.
Pending Tasks:
- Further exploration of Stable Diffusion’s features and capabilities in different environments is recommended for future sessions.