Overview

Our image generation feature leverages advanced AI technology to create high-quality, customized images based on user-provided prompts. This tool is designed to assist you in crafting images that meet specific requirements, whether for professional headshots, avatars, product photography, nature landscapes, architectural visualizations, or any other creative project.

Model Selection

The following models are available as per Photocobra 1.0.0:


i) Realistic Vision v5.1
ii) Realistic Vision V5.0 v5.0 (VAE)
iii) Deliberate
iv) Disney Pixar Cartoon type B v1.0
v) CyberRealistic v4.0


These models can further be fine-tuned on custom datasets to generate images that are more closely aligned with the user's requirements. The custom tune feature allows users to train the model on specific datasets, such as personal photos to create unique avatars or professional headshots.

Super Resolution

This feature enhances the resolution and quality of images, however the cost for using this feature is double that of the standard image generation cost. The super resolution feature is ideal for creating high-quality images for print or display purposes, where clarity and detail are essential.

Face Inpainting

Located in the Advanced section, the Face-inpainting toggle attempts to identify human faces within an image and subsequently applies a secondary inference to enhance their facial features. It's important to activate the super-resolution toggle to ensure sufficient pixel density for optimal performance of the face-inpainting process.

Face Correct

Enabling the Face Correct option activates an additional AI model that runs on top of the detected faces in an image. This secondary model is designed to correct and enhance facial features, improving the overall appearance and realism of the faces captured in the image.

High Resolution Fix

This is accessible only when enabling Super Resolution. High Resolution Fix enhances image clarity by adding additional details. This capability is particularly effective in improving the resolution and overall quality of images generated or processed.

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