No Concept Left Behind: Test-Time Optimization for Compositional Text-to-Image Generation
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Updated
Sep 30, 2025 - Python
No Concept Left Behind: Test-Time Optimization for Compositional Text-to-Image Generation
Implementation of StackGANs for text-to-image generation in Tensorflow
A Text to Image generator website with the support of hugging face and stability ai,with authentication using next-auth. The project is under development
TextBoost: Towards One-Shot Personalization of Text-to-Image Models via Fine-tuning Text Encoder
AI-Powered Fashion Product Photo Generator
Stable Diffusion Wrapper App for Text-to-Image Generation
Use fusionbrain.ai in your n8n workflows.
AI Media Studio is a Streamlit-based application that allows you to generate high-quality images and videos from text prompts.
Text-to-Image Generation with Birds using cGAN.
Smoke Classification Using Transfer Learning ang GenAI with Distributed Multi-GPU Parallel Training.
Generating AI images from user Input, using Python, Diffusers, OpenCV, MediaPipe, Flask, Google Colab.
Codes for NeurIPS 2023 paper: Imagine That! Abstract-to-Intricate Text-to-Image Synthesis with Scene Graph Hallucination Diffusion.
The code for "Text-to-image synthesis with self-supervised bi-stage generative adversarial network"
HF community scripts reworked, modified, etc.
Animatic Vision Client is the Next.js frontend for the Animatic Vision platform — an AI-powered system that transforms written stories into dynamic visual animations.
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models
Research project: Automatic Children Story Video Generation
VISTA provides an open standard of prompts intended for AI image generation. It aims to create consistency, organization, and interoperability in the construction of visual scenes, facilitating the creation, sharing, and reuse of prompts.
Code Repository for "LAP-GAN: Label augmentation with perceptual loss for self-supervised text-to-image synthesis"
Code for ACM MM'23 paper: LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation
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