To train an AI to generate new images based on personal pictures without knowing how to code, there are several options available. One approach is to use a platform like Leap AI, which allows users to generate images using pre-trained, open-source models like OpenJourney and Stable Diffusion. With Leap AI, users can simply type in a prompt using natural language, and the AI will generate an image based on that prompt. Another option is to use a tool like Playform, which allows users to train their own AI models using their own images. Playform provides a user-friendly interface that allows users to upload their images, select a category, and add tags to train the AI model.
Once the AI model is trained, users can generate new images based on a set of input parameters or conditions. These parameters can include things like style, color, texture, and shape. The input parameters can be set by the user or determined by the AI image generator itself. For example, a user could train an AI model to generate images of their face in different styles, such as a painting or a cartoon. The AI model would use the input parameters to generate a new image based on the user's face, creating a unique and personalized piece of art. Overall, training an AI to generate new images based on personal pictures is a fun and creative way to explore the possibilities of AI image generation, and there are many tools available that make it accessible to users without coding experience.