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New backgrounds, new positions, new possibilities: With the new Image AI tool from Mindverse you can feed the AI with your images and then have images created according to this concept.
In concrete terms, this means: Upload five or more images of your product, for example, and use them to generate your personal training set. You can then use the image AI to place your product anywhere, under a blanket of snow, on a breakfast table or on a yacht.
And this feature is not only useful for products, you can also upload pictures of yourself to re-stage yourself or of your property to try out a different house color. The possibilities are endless. Below we have a detailed overview for you, how you too can quickly and easily create your own training set for AI.
For our example, we take a water bottle that we have photographed in advance with a cell phone. We then upload at least five of these photos to create a training set. To do this, we uploaded the images to Mindverse in the "Image" section under "Custom Image Model". In the input field, we told the AI that this was a "drinking bottle" common factor. After creating the image model and a short waiting period, we can now select our own image model under "AI Images" in the dropdown menu. Now we can have the AI generate our drinking bottle for any motif.
You can immediately create an image model yourself as described above from the Mindverse Premium Package. The creation of a training set costs 49.99€ once, but after that the training set is all yours and all generated images are counted as normal image requests. So after that you can generate 50 x 4 images with a premium package.
With AI, computers can create images based on data they find in a dataset. This sounds trivial at first, but it holds an important insight: AI can only combine what already exists to create something new; it can only try to create images that it has an idea of what they might look like. This process is called Generative Adversarial Network (GAN). GANs use a network of neurons to gather data and compete with each other to produce the best possible result. During the learning process, computers create a model that responds to the data in the dataset and is then used to create new images. These images can be viewed as artificial photographs, illustrations or even animations. AI image creation can also be used for other purposes, such as creating textures or creating 3D models.
Artificial intelligence (AI)-generated imagery is a valuable resource for businesses and creatives looking for new, aesthetically pleasing images. AI images offer a wide range of options that can be used for a variety of applications.
Besides possibilities for the creation of stock photos, they can also be used for conceptualization or product images. Especially with own image models, which are trained on a concrete product, time and costs for various product photographs can be saved. This also makes it possible to change details of the positioning or background of a product image after a product photo session.
In addition, AI images are also a useful inspiration for creative people. It's easy to create entire series of images on topics, on the basis of which you can more quickly extract an idea for your own work.
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