I created and trained a DCGAN (Deep Convolutional Generative Adversarial Network) to produce artificial portraits using a dataset containing more than 6000 images.
Describe an image using llama and Together AI. The program will open a local directory from the local system.
A PyTorch implementation of Pix2PixHD to generate 1024x1024 HD images of Celebrities using sketches.
Grayscale-to-RGB image colorization using diffusion models on CIFAR-10, inspired by the Palette paper. Lightweight and customizable.
An AI-powered Streamlit app for PDF and web-based Q&A using RAG (Retrieval-Augmented Generation), Groq’s Mixtral LLM, and DeepAI image generation.
Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling
The Text-to-Image Generator transforms user text prompts into visually compelling images using advanced AI models. This tool provides an easy-to-use interface, enabling users to generate and download custom images instantly.
This is an opensource code of the project I worked on that trains a model to generate Cartoon Faces, using CVAE and cGAN models
MultiFormatImageGenerator is a Python script that generates test images in multiple formats (JPEG, PNG, BMP, TIFF) with randomized resolutions, background colors, and text colors.
Stable Diffusion web UI - Applied to generate Covid-19 Augmented Xray chest images. Checkout research paper published - https://www.psvpec.in/jcres/2024_1/93.pdf
JARVIS: A versatile AI assistant featuring voice commands,automation, web scraping, language translation, music playback, hotword detection , and image generation.
"Experience the AI Storytelling Web App: Combining OpenAI for text generation and Stability.ai for image creation, it redefines storytelling with captivating narratives and stunning visuals."
LDM using tensorflow.
AIO GPT is an AI-powered application that integrates YouTube video summarization, image generation, and conversational AI using Google's Gemini model. It provides a chat interface to interact with users, generate creative images, and analyze video and image content
🎨 Generate images with integrated control signals using the mini-ControlNet model, built on UNet and trained on the CelebA dataset.
🐙 Ultralytics Replicate deploys YOLO11n to Replicate with a ready-to-use Cog config and automated CI/CD workflow. Enable fast, reproducible model inference and sharing.
This project is the result of a laboratory study exploring the primary approaches to image generation using neural networks.
GenRS is an overview on availble Image Generation models for Remote Sensing.
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