Guide-linked quiz · Medium Level
Writing Effective Image Generation Prompts Quiz
Tests prompt structure for image models, why negation fails and negative prompts work, and how prompt weighting, guidance scale and seeds shape results.
Question 1 of 8
According to the guide, which element should usually come first in a well-structured image prompt?
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- According to the guide, which element should usually come first in a well-structured image prompt?
- The aspect ratio
- The subject and what it is doing
- The quality tags
- The negative prompt
- Why might "a beach with no people" produce an image with people?
- Image models associate words with visual features and do not reliably process negation
- The model deliberately ignores the second half of every prompt
- Beaches are always generated with people by default
- Negation only works in languages other than English
- In AUTOMATIC1111-style Stable Diffusion interfaces, what does (red scarf:1.3) do?
- Generates 1.3 scarves
- Shrinks the scarf to 1.3 percent of the image
- Increases the influence of the phrase "red scarf"
- Tells the model to render 3 images
- How does a negative prompt affect generation under classifier-free guidance?
- It deletes matching pixels after the image is finished
- It is appended to the main prompt
- It changes the random seed
- It replaces the empty-prompt baseline so the image is pushed away from those concepts
- What is the main purpose of fixing the seed while you refine a prompt?
- It makes each image generate faster
- It keeps the starting noise the same so you can see the effect of changing one element
- It improves the resolution of the output
- It prevents the model from reading the negative prompt
- What happens to DALL-E 3 prompts typed in ChatGPT, according to the guide?
- They are rewritten by the chat model before reaching the image model
- They are truncated to five words
- They are converted into Midjourney syntax
- They are sent unchanged to the image model
- In Midjourney, why would you write "hot:: dog" instead of "hot dog"?
- To generate a sausage in a bun at higher quality
- To change the aspect ratio
- To treat "hot" and "dog" as separate concepts, such as a dog that is hot
- To exclude dogs from the image
- Which statement about quality tags like "masterpiece, 8k, best quality" matches the guide?
- They are required for every modern model
- They double the image resolution
- They are the most important part of any prompt
- They helped some older community models but do little on many modern ones
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