Seeds and Reproducibility in AI Image Generation Quiz

Answers and explanations appear as you take the quiz.

1. What does the seed directly control in a diffusion image generator?
   • The model's training data
   • The wording of the prompt
   • The output resolution
   • The pseudorandom starting noise
2. Why does keeping the seed but changing the resolution produce an unrelated image?
   • Seeds expire after one use
   • The noise tensor changes shape, so the same numbers form a different pattern
   • Changing resolution rewrites the prompt
   • The sampler resets to its defaults
3. Which aspect of an image does the seed strongly influence because it is decided in early steps?
   • The overall composition, such as where a figure stands
   • The file format
   • The text encoder
   • The image license
4. Why can the same seed give different noise on a CPU and a GPU?
   • GPUs ignore seeds
   • The CPU secretly adds a watermark
   • CPU and GPU random generators produce different sequences from the same seed
   • Seeds are rounded to the nearest thousand on GPUs
5. In a batch of four images starting at seed 500, which seed do many tools assign to the fourth image?
   • 500
   • 2000
   • 504
   • 503
6. What does the guide say about 'good seeds'?
   • Certain seeds always produce better images
   • A seed that works for one prompt and model has no special quality elsewhere
   • Seed 42 is the best starting point for any model
   • Good seeds carry over between Midjourney and Stable Diffusion
7. Why do variation features use spherical interpolation (slerp) instead of simple averaging?
   • Slerp is faster to compute
   • Slerp changes the seed number automatically
   • A linear average of Gaussian noise lowers its variance and produces washed-out images
   • Slerp adds text to the image
8. How do ancestral samplers differ from DDIM in how they use randomness?
   • They draw fresh noise at each step, not only at the start
   • They use no randomness at all
   • They ignore the seed completely
   • They use the seed to choose the prompt