Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The sol...
#Awesome#Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.
翻译 - 创意编码：生成艺术，数据可视化，交互设计，资源。
Motion design editor for the web
翻译 - 适用于 Web 的运动设计编辑器
A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
翻译 - 一小组 Python 函数，用于从 OpenStreetMap 数据绘制漂亮的地图。基于 osmnx、matplotlib 和 shapely 库。
Easiest 1-click way to create beautiful artwork on your PC using AI, with no tech knowledge. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and ...
#Awesome#The Generative AI Landscape - A Collection of Awesome Generative AI Applications
#Awesome#A curated list of modern Generative Artificial Intelligence projects and services
SD.Next: All-in-one for AI generative image
🎨 A web component for drawing patterns with CSS.
翻译 - web一个用于使用CSS绘制图案的Web组件。
A library for visualization and creative-coding
翻译 - 用于可视化和广告素材编码的库
Generate high-quality triangulated and polygonal art from images.
翻译 - 从图像生成高质量的三角图稿。
🪩 Create Disco Diffusion artworks in one line
#计算机科学#A Deep Learning based project for creating line art portraits.
翻译 - 基于深度学习的项目，用于创建线条艺术肖像。
A simple program to simulate artificial life using attraction/reuplsion forces between many particles
🌊 A Human-in-the-Loop workflow for creating HD images from text
SDK for interacting with stability.ai APIs (e.g. stable diffusion inference)
Convert images to computer generated art using delaunay triangulation.
翻译 - 使用delaunay三角剖分将图像转换为计算机生成的图稿。
Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.
#计算机科学#One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
#计算机科学#[ICCV 2023] Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior