Microsoft 365 doesn't have traditional clip art anymore, but as a subscriber you get several new kinds of high quality art in its place for free: high-resolution photographs, icons, cutout people, stickers, illustrations, and cartoon people. Select Insert > Pictures > Stock Images to see your options. For more details, see Insert images, icons, and more.

I'm stuck with a task I initially thought should be very simple to complete. I would like to add some Christmassy clipart to a photo in GIMP and then print the photo or use it with an online card portal to send Christmas wishes. The reason I'm using GIMP is because it's truly free and Windows Paint can't seem to do on this. I'm open to suggestions to alternatives to GIMP for my purpose, yet am not happy to pay for an application for this.


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When I save images from -library.com/christmas-cliparts.html to my local drive and open them in GIMP via File --> Open as Layers I manage to change their locations in the overall image by using the handlers on the corners and in the centre of the clip-art. Yet whenever I want to move on to the next clipart image, the previous clipart blows up to the original size (i.e. in my case covering the original photo up completely).

Would appreciate any clear and concise instructions on how to add clipart images to a photo image. I haven't added a reproducible example hoping that the explanation is clear enough for someone experienced with GIMP. I've googled around for answers to my question, yet haven't found any answers yet. I'm not quite sure why GIMP makes this task so hard.

Follow the terms of the license associated with the image you want to reproduce. The guidelines apply regardless of whether the image costs money to purchase or is available for free. The guidelines also apply to both students and professionals and to both papers and PowerPoint presentations.

Although for most images you must look at the license on a case-by-case basis, images and clip art from programs such as Microsoft Word and Microsoft PowerPoint can be used without attribution. By purchasing the program, you have purchased a license to use the clip art and images that come with the program without attribution.

For example, this image of a cat comes from Pixabay and has a license that says the image is free to reproduce with no attribution required. To use the image as a figure in an APA Style paper, provide a figure number and title and then the image. If desired, describe the image in a figure note. In a presentation (such as a PowerPoint presentation), the figure number, title, and note are optional.

If the license associated with clip art or a stock image says that attribution is required, then provide a copyright attribution in the figure note and a reference list entry for the image in the reference list. Many (but not all) images with Creative Commons licenses require attribution.

To use the image as a figure in an APA Style paper, provide a figure number and title and then the image. Below the image, provide a copyright attribution in the figure note. In a presentation, the figure number and title are optional but the note containing the copyright attribution is required.

Also provide a reference list entry for the image. The reference list entry for the image consists of its author, year of publication, title, description in brackets, and source (usually the name of the website and the URL).

If the image has an alpha channel, it's most likely a drawing. In case an alpha channel exists, you can additionally iterate over all pixels to check if transparency is indeed used. Here a Python example code:

Clip arts often have regions with identical colors. If a few color make up a significant part of the image, it's rather a drawing than a photo. This code outputs the percentage of the image area that is made from the ten most used colors (Python example):

You need to adapt and optimize those values. Is ten colors enough for your data? What percentage is working best for you. Find it out by testing a larger number of sample images. 30% or more is typically a clip art. Not for sky photos or the likes, though. Therefore, we need another method - the next one.

This problem can be solved by image classification and that's probably Google's solution to the problem. Basically, what you have to do is (i) get a set of images labeled into 3 categories: photo, clip-art and line drawing; (ii) extract features from these images; (iii) use the image's features and label to train a classifier.

After the feature extraction phase, we will have for each image a vector of numeric values (let's call it the image feature vector) and its tuple. That's a suitable input for a training a classifier. As for the classifier, one may consider Neural Networks, SVM and others.

Now that we have a trained classifier, to classify an image (i.e. detect a image category) we simply have to extract its features and input it to the classifier and it will return its predicted category

Histograms would be a first way to do this.

Convert the color image to grayscale and calculate the histogram. A very bi-modal histogram with 2 sharp peaks in black (or dark) and white (or right), probably with much more white, are a good indication for line-drawing.

If you have just a few more peaks then it is likely a clip-art type image.

Otherwise it's a photo.

Clip art - A watershed algorithm could help identify large, connected regions of consistent brightness. In clip art and synthetic images designed for high visibility there are more likely to be perfectly straight lines and parallel lines. A histogram of edge strengths is likely to have a few very strong peaks.

AI-generated images are made by using deep learning models which are trained with a large dataset of images along with their corresponding text descriptions. The model learns the relationship between the text and images and can then generate new images from new text descriptions.

You can use AI-generated content for commercial projects, as long as you follow our terms of use and licensing. It's important to keep in mind that Kittl does not assure that the images generated will be suitable for use, especially if they resemble someone else's work. If you plan to use the images for commercial purposes, such as selling them, it's recommended to consult with a legal expert to ensure compliance with local laws.

You are not allowed to use text-to-image features for pornographic, illegal or immoral purposes. You are not allowed to generate images of public figures. Do not use AI text-to-image to generate images of recognizable characters or brands, these may be protected by copyright or trademark laws. It's important to obtain permission from the rights holder before using these images. Kittl cannot grant such permission.

Yes, our v2.0 Image Generator model handles text within images with greater accuracy than before. However this does not mean that every output will precisely reflect what you intended with the prompt.

On the Free plan, yes, any image you generate via any of our Image Generation features is subject to be made available to the Kittl community. Kittl reserves the right to decide what images to use, in which design workflow experiences.

Unlock the full potential of Kittl AI's text-to-image generation, offering a diverse range of styles to cater to your specific design preferences. Take advantage of the powerful background removal feature and effortlessly create professional mockups with just a single click. With Kittl AI, you can transform your ideas into visually stunning creations, elevating your projects to new heights.

Why spend hours, if not days, finding the right graphic, illustration, or photo? Kittl AI interprets and generates images from your text in seconds, streamlining the design process. Say goodbye to lengthy brainstorming sessions and browsing stock libraries for hours. Now, you can iterate and refine your concepts in real-time.

Style presets are easy to use and require no special skills or knowledge. Simply type in a prompt and choose a style that best fits your project and let Kittl AI do the rest. The results are stunning images that will capture the attention of your audience.

It will be a little involved. Fire up GIMP and add a transparency layer to the image. select the white color, via the Fuzzy select tool, or by the Select by Color tool. You may need to adjust the threshold level to reduce/eliminate the fringing. Adjust as needed. Once all the areas are selected use the Eraser tool to remove the white color. Those areas will now be transparent. Use a format that will save with the transparency intact, like png . If you need more help with GIMP check their forums/message boards as it is beyond the scope of this forum to support GIMP use. 0852c4b9a8

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