Text-to-image prompt crafting in Prompt Engineering / GenAI - Practice Problems & Coding Challenges

Challenge - 5 Problems

🧠 Conceptual

intermediate

Understanding prompt specificity in text-to-image generation

Which of the following prompts is most likely to generate a clear and detailed image of a red apple on a wooden table?

A "A colorful scene"

B "A fruit on a surface"

C "A red apple on a wooden table with natural lighting"

D "An object"

💡 Hint

Think about how adding details helps the AI understand what to draw.

Option C provides specific details about the object, color, surface, and lighting, which helps the AI create a clear and accurate image.

❓ Predict Output

intermediate

Output of a prompt with conflicting style instructions

What is the most likely visual style of the image generated by this prompt?

"A futuristic cityscape, painted in the style of a watercolor and photorealistic"

A A purely photorealistic image with sharp details and no painterly effect

B A black and white sketch

C A flat cartoon-style image with no texture

D An image blending soft watercolor textures with realistic city details

💡 Hint

Consider how AI models combine multiple style keywords.

The AI tries to merge both 'watercolor' and 'photorealistic' styles, resulting in a soft but detailed image.

❓ Model Choice

advanced

Choosing the best model for detailed text-to-image generation

You want to generate high-resolution images with fine details from complex prompts. Which model is best suited?

A A large diffusion-based model trained on diverse high-res images

B A simple GAN trained on low-res images

C A text-only language model without image generation capability

D A small lightweight model optimized for speed but low detail

💡 Hint

Think about model size, training data, and architecture for image quality.

Diffusion models trained on high-res diverse data produce detailed, high-quality images from complex prompts.

❓ Hyperparameter

advanced

Effect of guidance scale on image generation

In text-to-image generation, increasing the guidance scale parameter typically causes the output to:

A Become more closely aligned with the prompt but less diverse

B Become more random and less related to the prompt

C Run faster but with lower image quality

D Generate images with fewer colors

💡 Hint

Guidance scale controls how strongly the model follows the prompt.

Higher guidance scale forces the model to stick closer to the prompt, reducing randomness and diversity.

🔧 Debug

expert

Diagnosing poor image output from a text-to-image model

You input the prompt "A sunny beach with palm trees" but the generated image is mostly dark and blurry. Which is the most likely cause?

A The prompt is too vague and lacks style or lighting details

B The model was run with a very low number of inference steps

C The model is trained only on indoor scenes

D The prompt contains unsupported special characters

💡 Hint

Consider how inference steps affect image clarity.

Too few inference steps cause the model to produce blurry, incomplete images.

Practice

1. What is the main purpose of crafting a text-to-image prompt?

easy

A. To describe what image you want the AI to create

B. To write code for training the AI model

C. To edit images after they are generated

D. To choose colors manually in the image

Solution

1. Step 1: Understand the role of a prompt

   A prompt is a description that tells the AI what image to make.

2. Step 2: Identify the correct purpose

   Only To describe what image you want the AI to create matches this role by describing the desired image.

3. Final Answer:

   To describe what image you want the AI to create -> Option A

4. Quick Check:

   Prompt = Image description [OK]

Hint: Prompts tell AI what to draw, not how to code [OK]

Common Mistakes:

• Confusing prompt with coding instructions
• Thinking prompt edits images directly
• Assuming prompt sets colors manually

2. Which of the following is the correct way to write a prompt for a text-to-image AI?

easy

A. def create_image(): return 'beach'

B. "A sunny beach with palm trees and clear blue water"

C.

D. SELECT * FROM images WHERE type='beach'

Solution

1. Step 1: Identify prompt format

   Prompts are plain text descriptions, not code or HTML.

2. Step 2: Match the correct option

   "A sunny beach with palm trees and clear blue water" is a clear text description suitable as a prompt.

3. Final Answer:

   "A sunny beach with palm trees and clear blue water" -> Option B

4. Quick Check:

   Prompt = Plain text description [OK]

Hint: Prompts are simple text, not code or tags [OK]

Common Mistakes:

• Using code or HTML instead of text
• Confusing prompts with programming functions
• Trying to query images with SQL as prompt

3. Given the prompt "A red apple on a wooden table, photorealistic style", what kind of image will the AI most likely generate?

medium

A. A cartoon apple with bright colors

B. A blurry sketch of an apple

C. A detailed, realistic photo of a red apple on wood

D. A text-only image with the words 'red apple'

Solution

1. Step 1: Analyze prompt details

   The prompt says "photorealistic style" and describes a red apple on a wooden table.

2. Step 2: Match prompt to image type

   The AI will generate a detailed, realistic photo-like image matching the description.

3. Final Answer:

   A detailed, realistic photo of a red apple on wood -> Option C

4. Quick Check:

   Photorealistic prompt = Realistic image [OK]

Hint: Look for style words like 'photorealistic' to guess output [OK]

Common Mistakes:

• Ignoring style words and expecting cartoons
• Confusing text prompts with text images
• Assuming blurry or sketch style without prompt

4. You wrote the prompt "A futuristic cityscape at night, neon lights, cyberpunk style" but the AI generated a daytime image without neon colors. What is the likely problem?

medium

A. The prompt lacks style details

B. The AI model ignored the style keywords

C. The prompt is too short and unclear

D. The prompt should specify 'night' and 'neon' more clearly

Solution

1. Step 1: Check prompt clarity

   The prompt mentions 'night' and 'neon lights' but may not emphasize them enough for the AI.

2. Step 2: Improve prompt specificity

   Adding stronger emphasis or repeating keywords helps AI focus on night and neon colors.

3. Final Answer:

   The prompt should specify 'night' and 'neon' more clearly -> Option D

4. Quick Check:

   Clear, strong keywords = better AI focus [OK]

Hint: Be very clear and repeat key style words in prompts [OK]

Common Mistakes:

• Assuming AI always understands subtle style hints
• Not emphasizing important details enough
• Blaming AI model instead of prompt clarity

5. You want to create a unique image of a "cat astronaut exploring Mars" with a watercolor painting style. Which prompt will most likely produce the best result?

hard

A. "A cat astronaut on Mars, watercolor painting, soft colors, detailed background"

B. "A cat on Earth, digital art style, bright colors"

C. "An astronaut on Mars, oil painting style, no animals"

D. "A dog astronaut exploring space, cartoon style"

Solution

1. Step 1: Match subject and style

   "A cat astronaut on Mars, watercolor painting, soft colors, detailed background" includes the cat astronaut, Mars setting, and watercolor style as requested.

2. Step 2: Check other options

   Options B, C, and D miss key elements like the cat, Mars, or watercolor style.

3. Final Answer:

   "A cat astronaut on Mars, watercolor painting, soft colors, detailed background" -> Option A

4. Quick Check:

   Complete, clear prompt = best image [OK]

Hint: Include all key subjects and style words clearly in prompt [OK]

Common Mistakes:

• Leaving out main subject or style
• Mixing up animals or settings
• Using vague or unrelated descriptions