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imagegeneration

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This project explores the use of a Generative Adversarial Network (GAN) to generate fashion images from the Fashion MNIST dataset. The generator creates fake images, and the discriminator distinguishes them from real ones. Performance is evaluated using Fréchet Inception Distance (FID) to assess the quality of the generated images.

  • Updated Feb 16, 2025
  • Jupyter Notebook

A simple bash script that utilizes the Hugging Face API to generate images based on textual descriptions. This script sends a POST request to the Hugging Face inference API for the facebook/bart-large-cnn model with a given input text, and retrieves the generated image data.

  • Updated Nov 2, 2024
  • Shell

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