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To use Cricut cutters, users must use the company's own web-based design software, Design Space, which allows users to draw designs, select and combine designs from its own online library, or upload vector or bitmap files they have created in other software. [9] [10] [11]
People often upload images and other media files to Wikipedia and to the Wikimedia Commons – photographs, works of art, posters, etc. – and claim them as their "own work" or as "self-made", and even themselves as the "author", under the idea that scanning a document they have access to, photographing some work or item (as opposed to a scene ...
The Cricut), enabling scrappers to use their computer to create die cuts out of any shape or font with the use of free or third party software. Scrapbook makers will also use magazine clippings to "decorate" a scrapbook. One of the key components of modern scrapbooking is the archival quality of the supplies.
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.
Image editors usually have a list of special effects that can create unusual results. Images may be skewed and distorted in various ways. Scores of special effects can be applied to an image which include various forms of distortion, artistic effects, geometric transforms and texture effects, [17] or combinations thereof.
There's also a page called Wikipedia:Image use policy which exhaustively covers Wikipedia's image use policy. Second is the uploading of the image. Once the licensing is taken care of, the image should be uploaded to Wikimedia Commons which is the media repository for all projects of the Wikimedia Foundation, including Wikipedia. While it is ...
An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.
You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.