Bulk Synthetic Data Generation
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Updated
Aug 15, 2025 - HTML
Bulk Synthetic Data Generation
simple (and badly written express.js) crawler for the washing machine game.
I created and trained a DCGAN (Deep Convolutional Generative Adversarial Network) to produce artificial portraits using a dataset containing more than 6000 images.
Using a CGAN and the CelebHQ dataset from Kaggle, this project converts sketches into lifelike images, showcasing the potential of generating realistic images from freehand drawings.
Website Link Given Below
Art Style Fusion Prompt Engineering is a Gradio app that blends art styles, descriptions, and artist recommendations into prompts for T5 text encoders (Tested Heavily with Flux)
Professional LoRA AI image platform with 500+ creative models
This repository contains the open-source front-end for an AI-powered text-to-image generator. It is a clean, responsive, and user-friendly web application built with vanilla HTML, CSS, and JavaScript, designed to connect to any compatible image generation backend API.
A PyTorch implementation of Pix2PixHD to generate 1024x1024 HD images of Celebrities using sketches.
Describe an image using llama and Together AI. The program will open a local directory from the local system.
PrisimIG - The Image generation counterpart to PrisimAI
NTU Deep Learning for Computer Vision 2023 course
Implemented the cats and dogs classes from Cifar-10 dataset by developing a GAN model from scratch.
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.
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.
Image Generation Random Prompt Variation Generator
Multiple Conditioned Image Generation, SDXL, Low-rank adaptation Refined
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