🚀 即梦逆向API【特长：图像生成顶流】，零配置部署，多路token支持，仅供测试，如需商用请前往官方开放平台。

[ECCV 2024] Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions

Generate Cartoon Images using Generative Adversarial Network

An AI-powered image generator. A real SaaS app using Next.js 14, Clerk, MongoDB, Cloudinary AI, Stripe and Shadcn UI.

Midjourney X Instant Collage -- Collage Template + Grid + Quality Style

Run Stable diffusion as API

Gen AI uses GANs to generate CIFAR-10-like images. The custom GAN model comprises a Generator and a Discriminator. Users can train the model and generate images using Jupyter Notebooks or Google Colab.

Windows desktop (C++/Qt) app for local Stable Diffusion inference

A wrapper Android library/aar that converts the given promt as string into an image

This project leverages the SDXL-Turbo model for versatile image processing tasks. Offering a simple command-line interface, it facilitates both Text-to-image and Image-to-image operations. Users select an operation, input prompts, and the script dynamically generates and executes code snippets.

Code repo for the paper "AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness", accepted to KDD '23.

Simple CLI tool streamlines the process of managing AI models from the CivitAI platform. It offers functionalities to list available models, view their details, download selected variants, and remove models from local storage and provides a summary of the model description using Ollama or OpenAI.

Openai GPT Vision - Dalle3 - CLI & Streamlit UI Image generator based on your input

Media Generation Orchestrator

A simple app which gives a simple graphical interface to pollinations.ai

Mix and twist your favorite books with the power of AI!📖

A complete code for a text-to-image bot 🖼

🔮 ProphecyJimpsons: Predictive NFTs Platform | Create, trade, mint & verify predictions across Solana | Zero-cost minting with AI-generated art

SnapSpell: Instant AI Image Sorcery with Flux 1.1 Pro

Generative AI for UAV Navigation in Natural Environments. This project utilizes GAN and Diffusion models to generate realistic images of roads and rivers from UAV perspectives.