Best AI Image Generators for Startups in 2025

To ai art yourself using ImagineMe, follow the steps given below:

• Login to ImagineMe
• Upload an image that you want to transform
• Wait for a few seconds till ImagineMe examines your image and creates an avatar
• Select the model type that catches your eye
• Adjust the prototype’s properties and then save the outcome.

To do AI art of yourself using Photoleap, follow the steps given below:

• Open the Photoleap app
• Tap on AI edits and then choose Select AI Selfie
• Upload the image of your choice
• Select your style and then save it.

There are a number of AI logo generators available online. These generators can be used to create a logo based on a few simple inputs, such as the company name and industry.

Photorealistic text-to-image diffusion models with deep language understanding are a type of AI model that can generate highly realistic images from textual descriptions. Imagen is one of the text-to-image diffusion model developed by Google Brain

AI models generate images from prompts using a process called Generative Modeling. Here’s a simplified explanation:

• Training: The AI model is trained on a large dataset of images. During this process, the model learns to understand the patterns and features in the data. For example, it might learn what makes an image of a cat look like a cat - the shape of the ears, the size of the eyes, etc.
• Generation: Once trained, the model can generate new images. When given a prompt (like “a cat sitting on a mat”), the model uses its understanding of the data to create an image that fits the description. It does this by generating pixels one by one, each time predicting the next pixel based on the pixels it has already generated and the prompt.
• Refinement: The generated image is then refined. The model might adjust colors, shapes, and other details to make the image look more realistic.

This is a very high-level explanation and the actual process involves complex mathematical operations and algorithms. The exact method can vary depending on the specific type of AI model used (like GANs, VAEs, etc.).