Creating Python Gradio UI for Stable Diffusion Models - Part 2
Offered By: Prodramp via YouTube
Course Description
Overview
Learn to create a Python Gradio-based user interface for Stable Diffusion models in this 45-minute hands-on coding tutorial. Explore the process of building a console application UI with various functionalities across multiple tabs. Follow along as the instructor guides you through UI introduction, content importance, full UI walkthrough, Python project creation, prompt validation, Gradio UI implementation, prompt integration, and the addition of loading and image output tabs. Discover how to incorporate Stable Diffusion settings and gain insights into the overall GUI structure. Access the provided GitHub repository for source code and reinforce your understanding with a comprehensive final summary.
Syllabus
- UI Introduction
- Content Importance
- Full UI Walkthrough
- Create Python Project
- Validate Prompt
- Adding Gradio UI
- Prompt Integration
- Two UI Tabs loading and img out
- SD Settings Tab
- GUI summary
- Project Source Code
- Final Summary
Taught by
Prodramp
Related Courses
6.S191: Introduction to Deep LearningMassachusetts Institute of Technology via Independent Generate Synthetic Images with DCGANs in Keras
Coursera Project Network via Coursera Image Compression and Generation using Variational Autoencoders in Python
Coursera Project Network via Coursera Build Basic Generative Adversarial Networks (GANs)
DeepLearning.AI via Coursera Apply Generative Adversarial Networks (GANs)
DeepLearning.AI via Coursera