AI Generated Tools, is an AI-based tool that utilize machine learning models to create unique content based on user inputs, are used in various fields such as digital art, design, and content creation.
While many web-based AI-generated art services are commercially available and often overpriced, there are also dozens of free, open-source options. These can be downloaded and used at no cost and even customized to suit your vision and needs.
In this list, we have compiled the top free and open-source AI generating apps. If you know of any that we have not mentioned, please let us know.
Dall-e is a text-to-image AI generator that is created by OpenAI, the same company that created ChatGPT. It features an image opt model with high adaptability and flexibility.
Dall-e 3 can be used with ChatGPT4, however, you can have access to it directly from Microsoft Copilot.
Google Gemini is a highly advanced model developed by Google DeepMind. It is considered one of their most capable and general models to date, highlighting the company's ongoing advancements in the field of artificial intelligence.
Gemini is capable of creating art or images. It has been trained on a diverse range of internet text and can, therefore, generate creative pieces, including text, art, and even images. This is a significant step forward in the field of AI and machine learning.
Dream Factory is a multi-threaded GUI manager for mass creation of AI-generated art, supporting multiple GPUs.
The project is built for users who want to generate a large volume of AI artwork with minimal hands-on time, and can produce thousands of images daily when run on multiple GPUs. It also allows remote modifications via a web UI.
Synthesys X is a tool for generating unique versions of online images. It provides a free version with up to 100 monthly revisions and access to a private community. A premium version offers up to 500 monthly image generations, priority support, and additional features.
Pollinations is an initiative aimed at making generative art more accessible, offering a frontend hosting a set of curated notebooks for creating and experimenting with generative art. It utilizes the Interplanetary Filesystem (IPFS) for decentralized, censorship-resistant storage of models, code, and generated content, and currently operates on Google Colab for the use of free cloud GPUs.
Pixelfy is an open-source application that uses AI to create pixel art images. It's built with Next 13 app dir and Planetscale MySQL, with Next.js as the framework.
DiffusionBee is an open-source art generator application that uses the Stable Diffusion AI model to create images from text prompts.
The app is user-friendly and can be run locally, offering more privacy and control over data. The software benefits from a decent GPU for faster image generation. As an open-source tool, it provides a platform for learning and innovation in AI and machine learning.
Features
Open-source: Allows developers and AI enthusiasts to study, modify, and improve the software
User-friendly: Designed to make AI art generation accessible to a wider audience without requiring deep technical knowledge
Runs locally: The image generation process does not rely on cloud services, offering users more privacy and control
Built on top of Stable Diffusion: Inherits the model's capabilities for creating diverse and complex images
Evolving: The exact features, user interface, and additional functionalities may evolve over time as the community contributes to its development
Learning and innovation platform: Serves as a platform for learning and innovation in the field of AI and machine learning
Text to image: Generates images from textual prompts
Image to image: Modifies existing images using text prompts
In-painting: Adds/removes objects in an existing image at a selected region using a text prompt
Out-painting: Expands an image outwards using text prompts
Upscaling: Uses AI to automatically increase the resolution of the generated image
Custom models: Uses external Stable Diffusion models which are trained on specific styles/objects
Advanced options: Provides advanced options like negative prompt, diffusion steps, etc. for power users
Privacy: All the generation happens locally and nothing is sent to the cloud
Playground is a free online platform that uses AI to enable users to create and edit professional-grade graphics. It introduces "Mixed Image Editing" for blending real and synthetic images and offers features like image expansion, element removal, seamless object integration, and sketch conversion. The platform also supports collaboration.
InvokeAI is an advanced creative engine that uses AI technologies to generate visual media. It offers a web interface and command line interface, and is used in various commercial products.
Its features list include a unified canvas for collaboration, workflow management for customizable generation pipelines, and a gallery system for content organization. It also provides tools for upscaling, embedding, and model management.
It is available for Windows, Linux, macOS, but it requires large CPU, GPU, and RAM power to run.
ENFUGUE is a true Libre (GPL-3.0) free open-source web app for creating studio-grade images and videos using generative AI. It offers a one-click installation, compatibility with popular open-source AI applications, and immediate access to the latest open-source image/video generation models.
MetalDiffusion is an open-source customized setup for stable diffusion solution for Intel and Silicon Macs that utilizes GPU's and runs exclusively on MacOS via Apple Metal.
Text2Art is an AI-powered art generator using VQGAN + CLIP and CLIPDrawer models. It allows users to generate various types of art, including drawings, paintings, sketches, or even a specific artist's style, using just a text input.
Users can also specify the image dimensions, and the generated results, which can take between 3 to 20 minutes, will be emailed to them.
Stable UI, supported by the crowdsourced Stable Horde, allows users to create, save, and view images using Stable Diffusion, regardless of their processing power.
Collage Diffusion is an innovative interface for image generation models, allowing users to specify image composition in a Photoshop-like interface. It uses a modified version of Stable Diffusion to produce harmonized images.
The frontend is a React app using the Chakra UI library, while the server uses a custom scheduler runtime that dispatches requests to the Ray Serve library for inference.
BlueWillow is a free user-friendly AI art generator that transforms text prompts into various forms of digital artwork. It requires only a prompt and an email, and allows users to refine, regenerate, and share their creations. The platform also promotes community engagement through Discord.
Muse-CGH is an open-source program that creates unique, stylish, computer-generated handwriting from plain text. It offers interactive editing, a font editor for custom font creation, and supports both GUI and command-line modes. the app is designed for users who value personalized digital handwriting.
The open-source free project simplifies art generation using VQGAN + CLIP and docker containers, providing a user-friendly web UI. It's most efficient with an NVIDIA GPU, but a slower CPU mode is also available.
However it is important to note, the larger the image the more VRAM your graphics card needs:
6 GB of VRAM is required to generate 256x256 images.
12 GB of VRAM is required to generate 512x512 images.
24 GB of VRAM is required to generate 1024x1024 images.
SD.Next Stable Diffusion offers advanced features including multiple backends and diffusion models, built-in control for text, image, batch, and video processing, and multiplatform support.
It also provides platform-specific autodetection and tuning performed on install, and optimized processing with the latest torch developments with built-in support for torch.compile.
It also supports dozens of custom AI models, diffusers, and SD models.
DiffusionDB is a large-scale text-to-image prompt dataset with 14 million images generated by Stable Diffusion from user-specified prompts and hyperparameters. It offers research opportunities in understanding the relationship between prompts and generative models, deepfake detection, and the design of human-AI interaction tools.
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Features
* Clear and easily understandable summaries
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