A flexible framework powered by ComfyUI for generating personalized Nobel Prize images.
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Updated
Nov 4, 2024 - Python
A flexible framework powered by ComfyUI for generating personalized Nobel Prize images.
An open source implementation of "Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning", an all-new multi modal AI that uses just a decoder to generate both text and images
[CVPR 2025] Official repository for "From Poses to Identity: Training-Free Person Re-Identification via Feature Centralization"
Reinforcement Learning Framework for Visual Generation
Using Replicate to build Streamlit app for image generations!
Implement search image generation similar to Nano-banana-pro / Seedream / FLUX.
🐧 Unify-Agent: An end-to-end unified multimodal agent for faithful, knowledge-grounded image generation.
Codebase for the paper-Elucidating the design space of language models for image generation
A software application is that allows users to input specific themes or topics for a meme or marketing poster. Following this input, the application produces a cohesive poster with both text and imagery
A tensorflow/keras implementation of StyleGAN to generate images of new Pokemon.
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!
Python Streamlit web app utilizing the OpenAI API to communicate with the Dalle2 image generation model, based on user input.
A Unofficial Nano Banana API
LDM using tensorflow.
A PyTorch implementation of Pix2PixHD to generate 1024x1024 HD images of Celebrities using sketches.
Synthetic images generated using deeplearning model (GANs) allows researchers to create realistic, diverse MRI images that can supplement or expand existing datasets without needing additional patient scans.
This project is the result of a laboratory study exploring the primary approaches to image generation using neural networks.
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
Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling
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