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To identify AI-generated images and ensure appropriate usage. To help and keep track of AI-using editors who may not realize their deficiencies as a writing tool The purpose of this project is not to restrict or ban the use of AI in articles, but to verify that its output is acceptable and constructive, and to fix or remove it otherwise.
DeepSeek’s Janus-Pro is free-to-use without restriction, unlike image generators built by US rivals like OpenAI and Stability AI. It also marks a breakthrough in the way such models are trained ...
ComfyUI is an open source, node-based program that allows users to generate images from a series of text prompts.It uses free diffusion models such as Stable Diffusion as the base model for its image capabilities combined with other tools such as ControlNet and LCM Low-rank adaptation with each tool being represented by a node in the program.
To upload an image, use the Wikipedia:File upload wizard. When uploading an image, you have to: make sure the image is published under a free copyright license; clearly label the origin and the copyright license of the image. Before uploading images, read the image use policy. Most images on the Internet are copyrighted.
Instead, you can list the image without actually displaying it. For example, let's say this image was a fair use image: If it were a fair use image (it isn't, it is in the public domain as a work of the U.S. government), then displaying it on one's userspace (or here in the Wikipedia project space) would be against policy. So, alternatively one ...
To upload images to Commons you can use the Commons Upload Wizard tool, which will guide you through the process. There is an important caveat: Commons accepts only freely licensed images . This means that you cannot upload most images found on the internet, as the vast majority of them are not free.
Let's Enhance [1] is a Ukrainian start-up [2] which develops an online service driven by artificial intelligence which allows improving images and zooming them without losing quality. [3] According to the developers, [4] they used the super-resolution technology of machine learning. The neural network, trained on a large base of real ...
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