StableDiffusionWebUI /AUTOMATIC1111/CommentaryNAGI-AI-powered image generation

Example

Using the txt2img function, a user can generate a completely new image from a text prompt such as 'a serene landscape with mountains and a lake'. With img2img, a user can take an existing image and modify it according to a new prompt, like adding a sunset to a daytime landscape.

Scenario

An artist wants to create unique landscape images for a digital gallery. They use txt2img to generate initial images from descriptive prompts and img2img to refine and alter these images, adding specific elements like lighting changes or additional objects.

Example

A user generates an image at a standard resolution but wants to print it in high quality. They apply the Hires.fix feature to upscale the image, improving its resolution and clarity without significant loss of quality.

Scenario

A graphic designer needs a high-resolution image for a large banner. By generating an initial design and then using Hires.fix, they ensure the final print is sharp and detailed.

Example

By using ControlNet, a user can guide the image generation process with additional controls, such as specifying the pose of a character or ensuring architectural elements are accurately represented.

Scenario

An architectural firm uses ControlNet to generate conceptual designs of buildings. They input specific constraints and design elements, ensuring the generated images align closely with their project requirements.