Stable Diffusion overview in Prompt Engineering / GenAI - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is Stable Diffusion in simple terms?

Stable Diffusion is a type of AI model that creates images from text descriptions by gradually improving random noise until it matches the description.

beginner

How does Stable Diffusion generate images?

It starts with random noise and slowly removes the noise step-by-step, guided by the text input, until a clear image appears.

intermediate

What is the role of the 'diffusion' process in Stable Diffusion?

Diffusion is the process of adding noise to data and then learning to reverse it, which helps the model create new images from noise.

intermediate

Why is Stable Diffusion called 'stable'?

Because it produces consistent, high-quality images and is designed to be more reliable and controllable than earlier diffusion models.

beginner

What kind of input does Stable Diffusion require to create an image?

It requires a text prompt describing what the user wants to see in the image.

What does Stable Diffusion start with when creating an image?

A Random noise

B A blank canvas

C A photo

D A sketch

Stable Diffusion begins with random noise and gradually refines it into an image.

What guides the image creation in Stable Diffusion?

A Random guess

B Text description

C User drawing

D Preloaded images

The text description tells the model what image to create.

What is the main purpose of the diffusion process?

A To detect objects

B To colorize images

C To add and then remove noise

D To compress data

Diffusion adds noise and learns to remove it to generate new images.

Why is Stable Diffusion preferred over some older models?

A It is more stable and produces better images

B It runs only on phones

C It requires no input

D It uses less electricity

Stable Diffusion is designed for consistent, high-quality image generation.

Which of these is NOT needed for Stable Diffusion to work?

A Trained model

B Random noise

C Text prompt

D User sketch

User sketches are not required; only text prompts and a trained model are needed.

Explain how Stable Diffusion creates an image from a text prompt.

Think about the step-by-step noise removal process.

Describe the diffusion process and why it is important in Stable Diffusion.

Focus on noise and its removal.