A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)

A large-scale text-to-image prompt gallery dataset based on Stable Diffusion

Templating language for generating prompts for text to image generators such as Stable Diffusion

Prompt Engineering for Language models (GPT-3, GPT-4, chatGPT) and text-to-image models (Stable Diffusion, Midjourney, Dall-e)

Learn how to build a web application that generates images based on text prompts using Stable Diffusion, Next.js, and Vercel

Cross-platform Stable Diffusion Text to Image Prompts Generator built in Embarcadero Delphi.

Text-to-image generation using Huggingface stable diffusion ControlNet conditioning and AWS Translate's prompt translation function

Virtual Try-On FashionGenAI is an AI-powered tool that allows users to visualize themselves in different clothes based on their own images and text prompts. The project utilizes Stable Diffusion Inpainting and the U2Net segmentation model to isolate clothing parts (upper or lower body) and generate a customized outfit based on the user's choice.

This project utilizes the Stable Diffusion model to extend images based on user-provided text prompts and specified directions (e.g., left, right, top, bottom). The pipeline processes the input image and generates an extended version according to the directions specified.

This repository provides a unified interface for generating images from text prompts using various state-of-the-art models including DALL-E, Stable Diffusion, and many others. It's designed to simplify the process of integrating and switching between different text-to-image models.

The AI Image Generator is a Python Script that uses a pre-trained Stable Diffusion model to generate images from text prompts. This project leverages the power of the Stable Diffusion model to create high-quality images based on descriptive text inputs.

This project leverages advanced AI techniques to generate videos from text prompts. It utilizes Google's Generative AI for content creation, BART for text summarization, Stable Diffusion for image generation, gTTS for text-to-speech, and MoviePy for video assembly. With an intuitive Gradio-powered UI, users can effortlessly create videos.

🖼️🤖A simple Text-to-Image Generator built using Hugging Face Diffusers and Streamlit. This application allows users to generate stunning AI images from text prompts with the Stable Diffusion model.

This AI-powered app combines Stable Diffusion for image generation and DETR for object detection, all within an interactive Streamlit interface. 🎨🔍 Users can generate stunning AI images from text prompts and detect objects in uploaded images with high accuracy. 🚀 Simple, fast, and efficient—bringing AI creativity to your fingertips!

A full-stack AI image generator web application built using the MERN stack (MongoDB, Express.js, React.js, Node.js) and powered by Hugging Face's Stable Diffusion API to convert text prompts into images. Users can generate images, view them in a community feed, and share their creations.

text to text / image to text Architecture prompt generator for stable diffusion / any image generation plateform based on Ollama LLM

This project explains about converting a text prompt to an image using Stable Diffusion models and autocast.

A powerful and flexible text-to-image generation system built with Modal and Stable Diffusion XL. This project provides both a web interface and API for generating high-quality images from text prompts.

I use a pixel canvas for creating an image input that can be sent to a stable diffusion model alongside a text prompt

This project demonstrates how to generate images using a pre-trained Stable Diffusion model in a Jupyter Notebook environment. The notebook covers the installation of necessary libraries, configuration of model parameters, and the process of generating images from text prompts.

AI-powered interior design tool transforming sketch images into stunning, photo-realistic room designs. Built with FastAPI and React, it supports custom prompts for styles, colors, materials, and lighting. Text-to-image generation using Stable Diffusion with ControlNet guidance pipeline. Dockerized and easy to deploy.

Tiny stable diffusion chatbot based on segmind/small-sd to generate images upon text prompts.

Imago (Image Explorer) Generator | Imago is a reference image tool powered by Stable Diffusion AI, enabling seamless communication between writers and artists. It allows artists to generate reference images based on writer requests and original text, providing prompts and suggestions for inspiration. Artists can easily evaluate, adjust, and share

A sleek web app that converts text prompts into stunning AI-generated images using Stable Diffusion and Gradio. Fast, responsive, and easy to deploy.

In this assignment, we’re going to finetune a pretrained Stable Diffusion model to create images based on Naruto-themed prompts. We’ll use the "small-stable-diffusion-v0" model and a dataset of Naruto-related captions. By the end, our model should generate awesome Naruto-style images from text prompts.

Use Text to Image generators like Stable Diffusion in your iOS app. This package uses the Replicate.com REST API to create images from prompts using different models available on the site.

This project demonstrates fine-tuning Stable Diffusion using LoRA (Low-Rank Adaptation) on a custom anime image dataset, enabling the generation of better, anime-style images from text prompts compared to baseline.

The Text-to-Image Generator is an AI-powered web application that generates high-quality images from user-provided text prompts. Leveraging Hugging Face's Stable Diffusion model, the application transforms descriptive text into vivid and detailed visuals, making it ideal for creative projects, concept visualization, and artistic experimentation.

A Python-based text-to-image generator using the Stable Diffusion v1.5 model, powered by Hugging Face’s diffusers library and accelerated with CUDA. Features a simple Tkinter GUI for interactive prompt-based image generation.

Generative Image with Stable Diffusion — A clean, high-quality text-to-image generation project using Hugging Face Diffusers. Includes reproducible notebook, sample outputs, metadata logging, and GPU-optimized pipelines. Ideal for ML students, researchers, and creators exploring generative AI, prompt engineering, and diffusion models.