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Creating Anime characters using GAN & Implementing in Gradio

IntermediateGuided Project

Explore the fascinating world of Anime Character Creation in a Gradio web app. Fine-tune multiple functions to generate diverse characters and analyze their intercorrelations, enabling you to create unique anime characters from scratch.

Language

  • English

Topic

  • Artificial Intelligence

Enrollment Count

  • 114

Skills You Will Learn

  • Artificial Intelligence, Machine Learning, PyTorch, Python

Offered By

  • IBM

Estimated Effort

  • 45 minutes

Platform

  • SkillsNetwork

Last Update

  • May 10, 2025
About this Guided Project
In this project, we will utilize Generative Adversarial Networks (GANs) to generate animated character images. GANs are deep learning models that can learn from a dataset and create new content that closely resembles the training data. We will train an existing GAN model using a dataset of animated character images. Our goal is to develop a web-based application that allows users to generate unique animated character images by interacting with the GAN model through Gradio, a user-friendly interface.

A Look at the Project Ahead

  1. Image Generation with GANs: You will explore the process of generating images using GANs, including the generation of unique and diverse animated character images through interaction with the trained GAN model.
  2. Gradio: You will utilize Gradio, a Python library, to create a user-friendly interface for interacting with the trained GAN model and generating unique and diverse animated character images. Gradio simplifies the process of integrating the GAN model into a web application by providing pre-built components for input and output interfaces. This allows users to easily customize and generate animated character images by interacting with the GAN model through the web application.

What You'll Need

Prerequisites for this project include a basic understanding of web development, basic foundational knowledge of generative modeling with a focus on GANs, and proficiency in application development.

Instructors

Joseph Santarcangelo

Senior Data Scientist at IBM

Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.

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Roodra Kanwar

Data Scientist at IBM

I am a data scientist by day, superhero by night. Psych! I wish I was that cool. Only the former part is true which is still pretty cool! I believe in constant learning and it is an essential part of being a productive data enthusiast. I am also pursuing my masters in computer science from Simon Fraser University specializing in Big Data. Moreover, knowledge is transfer learning (pun intended!) and what I have gained, I plan on reflecting it back to the data community.

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