DALL-E API usage in Prompt Engineering / GenAI - Practice Problems & Coding Challenges

Challenge - 5 Problems

❓ Predict Output

intermediate

What is the output of this DALL-E API call?

Given the following Python code snippet using the DALL-E API, what will be the type of the variable response after execution?

Prompt Engineering / GenAI

import openai
response = openai.Image.create(
    prompt="a red apple on a wooden table",
    n=1,
    size="256x256"
)

A A string containing the raw image data

B A dictionary containing image URLs and metadata

C A list of image binary data

D An integer representing the number of images generated

💡 Hint

Think about what the API returns when you request images.

The DALL-E API returns a dictionary with keys like 'created' and 'data'. The 'data' key holds a list of dictionaries each containing a URL to the generated image.

❓ Model Choice

intermediate

Which DALL-E model size option produces the highest resolution images?

You want to generate the largest and most detailed images using the DALL-E API. Which size parameter should you choose?

A "256x256"

B "512x512"

C "128x128"

D "1024x1024"

💡 Hint

Higher numbers mean bigger images.

The '1024x1024' size option produces the highest resolution images currently supported by the DALL-E API.

❓ Hyperparameter

advanced

How does changing the n parameter affect the DALL-E API response?

If you set n=3 in the DALL-E API call, what will be the effect on the response?

A The API returns 3 images merged into one

B The API returns 1 image repeated 3 times

C The API returns 3 different images in the response

D The API returns 3 images but only one URL

💡 Hint

The parameter n controls how many images you want.

Setting n=3 tells the API to generate 3 unique images, each with its own URL in the response.

🔧 Debug

advanced

Why does this DALL-E API call raise an error?

Consider this code snippet: import openai response = openai.Image.create( prompt=12345, n=1, size="256x256" ) Why does this code raise an error?

A Because the prompt must be a string, not an integer

B Because the size parameter is invalid

C Because n must be greater than 1

D Because the openai module is not imported correctly

💡 Hint

Check the data type of the prompt parameter.

The prompt parameter must be a text string describing the image. Passing an integer causes a type error.

🧠 Conceptual

expert

What is the main ethical consideration when using DALL-E generated images?

When generating images with DALL-E, what is a key ethical concern to keep in mind?

A Ensuring images do not infringe on copyrights or create harmful content

B Avoiding the use of descriptive prompts

C Using the smallest image size to save bandwidth

D Maximizing the number of images generated per request

💡 Hint

Think about how images might affect others or violate rules.

Ethical use involves avoiding generating images that violate copyrights, promote misinformation, or create harmful or offensive content.

Practice

1. What does the DALL-E API primarily do?

easy

A. It creates images from text descriptions.

B. It translates text from one language to another.

C. It analyzes the sentiment of a text.

D. It generates music from text input.

Solution

1. Step 1: Understand the main function of DALL-E API

   DALL-E API is designed to generate images based on text prompts given by the user.

2. Step 2: Compare options with the main function

   Only It creates images from text descriptions. describes creating images from text, which matches DALL-E's purpose.

3. Final Answer:

   It creates images from text descriptions. -> Option A

4. Quick Check:

   DALL-E API = Image generation from text [OK]

Hint: Remember: DALL-E = text to image generator [OK]

Common Mistakes:

• Confusing DALL-E with translation or sentiment tools
• Thinking it generates music
• Assuming it analyzes text instead of creating images

2. Which of the following is the correct way to specify the number of images to generate using the DALL-E API in Python?

easy

A. response = client.images.generate(prompt='cat', images=3)

B. response = client.images.generate(prompt='cat', number=3)

C. response = client.images.generate(prompt='cat', count=3)

D. response = client.images.generate(prompt='cat', n=3)

Solution

1. Step 1: Recall the parameter name for number of images in DALL-E API

   The correct parameter to specify how many images to generate is 'n'.

2. Step 2: Match the parameter with the options

   Only response = client.images.generate(prompt='cat', n=3) uses 'n=3', which is the correct syntax.

3. Final Answer:

   response = client.images.generate(prompt='cat', n=3) -> Option D

4. Quick Check:

   Number of images = n parameter [OK]

Hint: Use 'n' to set image count in DALL-E API calls [OK]

Common Mistakes:

• Using 'number' or 'count' instead of 'n'
• Passing 'images' parameter which is invalid
• Syntax errors from wrong parameter names

3. What will the following Python code print if it successfully generates one image using DALL-E API?

response = client.images.generate(prompt='sunset over mountains', n=1, size='256x256')
print(response.data[0].url)

medium

A. The text prompt 'sunset over mountains'

B. A URL string pointing to the generated image

C. An error because 'size' is not a valid parameter

D. A list of image objects instead of a URL

Solution

1. Step 1: Understand the response structure from DALL-E API

   The response contains a 'data' list with image info objects. Each has a 'url' field with the image link.

2. Step 2: Analyze the print statement

   Printing response.data[0].url outputs the URL string of the first generated image.

3. Final Answer:

   A URL string pointing to the generated image -> Option B

4. Quick Check:

   response.data[0].url = image URL [OK]

Hint: response.data[0].url holds the image link [OK]

Common Mistakes:

• Expecting the prompt text instead of URL
• Thinking 'size' parameter causes error
• Assuming the response is a list of images, not URLs

4. Identify the error in this DALL-E API usage code snippet:

response = client.images.generate(prompt='a dog', n=2, size='1024x1024')
print(response.url)

medium

A. Parameter 'n' must be a string, not an integer

B. The prompt 'a dog' is too short and causes error

C. response.url does not exist; should access response.data[0].url

D. Size '1024x1024' is not supported by DALL-E API

Solution

1. Step 1: Check how to access image URLs in response

   The response object contains a 'data' list; URLs are inside each item as 'url'. Direct 'response.url' is invalid.

2. Step 2: Verify other parameters and prompt

   The prompt is valid, 'n' accepts integers, and '1024x1024' is a supported size.

3. Final Answer:

   response.url does not exist; should access response.data[0].url -> Option C

4. Quick Check:

   Access image URL via response.data[0].url [OK]

Hint: Use response.data[0].url, not response.url [OK]

Common Mistakes:

• Trying to print response.url directly
• Misunderstanding parameter types
• Assuming unsupported image sizes cause error

5. You want to generate 3 images of size 512x512 using the DALL-E API and save their URLs in a list. Which Python code snippet correctly does this?

hard

A. response = client.images.generate(prompt='forest', n=3, size='512x512')
urls = [img.url for img in response.data]

B. response = client.images.generate(prompt='forest', number=3, size='512x512')
urls = response.urls

C. response = client.images.generate(prompt='forest', n=3, size='512x512')
urls = response.url

D. response = client.images.generate(prompt='forest', n=3, size='512x512')
urls = [response.data.url]

Solution

1. Step 1: Confirm correct parameters for image generation

   Use 'n=3' to generate 3 images and 'size="512x512"' for image size.

2. Step 2: Extract URLs from response data list

   response.data is a list of image objects; use list comprehension to get each 'url'.

3. Final Answer:

   response = client.images.generate(prompt='forest', n=3, size='512x512') urls = [img.url for img in response.data] -> Option A

4. Quick Check:

   Use list comprehension on response.data for URLs [OK]

Hint: Use list comprehension on response.data to get URLs [OK]

Common Mistakes:

• Using wrong parameter 'number' instead of 'n'
• Trying to access response.url or response.urls directly
• Incorrect list comprehension syntax