Official Repo for Paper "OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision"
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Updated
Nov 12, 2024
Official Repo for Paper "OmniEdit: Building Image Editing Generalist Models Through Specialist Supervision"
Synthetic images generated using deeplearning model.
Codebase for the paper-Elucidating the design space of language models for image generation
Implemented the cats and dogs classes from Cifar-10 dataset by developing a GAN model from scratch.
A flexible framework powered by ComfyUI for generating personalized Nobel Prize 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.
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)
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.
A PyTorch implementation of Pix2PixHD to generate 1024x1024 HD images of Celebrities using sketches.
An AI-powered Mattermost ChatGPT chatbot that utilizes the OpenAI API to provide helpful, contextual responses to user messages, extract text from links, and describe or generate images. With Docker support!
SnapSpell: Instant AI Image Sorcery with Flux 1.1 Pro
Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling
Modify a product image by replacing the background with Imagen
NTU Deep Learning for Computer Vision 2023 course
Welcome to the Image Generation with Pre-trained Models repository! This project demonstrates how to utilize pre-trained generative models like DALL-E-mini and Stable Diffusion to create images from text prompts. These models enable the generation of high-quality images by leveraging powerful deep learning architectures trained on extensive dataset
Multiple Conditioned Image Generation, SDXL, Low-rank adaptation Refined
Using Replicate to build Streamlit app for image generations!
⚡️ Build quick LLM pipelines for AI applications
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