ガイド連動クイズ · 中 レベル

AI画像生成クイズ

拡散の基本、画像ワークフローの選択、視覚的な制約、最終サイズの検査、アップスケーリングの制限、出所を意識した使用をテストします。

関連するガイドパスAI画像生成
質問 1 の 8

Which learned process characterizes diffusion image models?

すべての質問をプレビューする8 質問

クイズに答えると、答えと解説が表示されます。

  1. Which learned process characterizes diffusion image models?
    • They learn a denoising process
    • They retrieve a finished stock image for every prompt
    • They copy one training image pixel for pixel
    • They use only hand-written drawing rules
  2. A product combines image generation, editing, upscaling and postprocessing. What should a team evaluate?
    • Only the prompt field, since later stages cannot change the image
    • The complete workflow and final artifact
    • The model name without inspecting the output
    • Only the first generated preview
  3. Which details can help communicate a visual goal in a prompt?
    • A guarantee that every tiny feature will render correctly
    • The legal status of the model’s training data
    • Subject, composition, lighting, palette and needed empty space
    • The final output’s provenance after publication
  4. A diagram requires exact small labels and repeated geometry. What should the creator do?
    • Assume the prompt guarantees every label is correct
    • Judge only the overall style
    • Skip review if the resolution is high
    • Inspect the details directly and rebuild unreliable elements as editable shapes or text
  5. Why inspect an image at its intended display size?
    • A thumbnail can hide distortions or unreadable text that appear in the final layout
    • Every image becomes accurate when enlarged
    • It proves the depicted event occurred
    • A small preview always has more detail than the full image
  6. What does upscaling guarantee about depicted details?
    • It restores the original object’s physically correct structure
    • Nothing about accuracy; more pixels do not necessarily recover accurate detail
    • It converts every image into a vector
    • It verifies the source and rights of each object
  7. When should an illustration be labeled as synthetic?
    • Only when it is low resolution
    • Never, because realistic images are documentary evidence
    • When the context requires preventing it from being mistaken for documentary evidence
    • Only if the AI tool is named in the file name
  8. What should a team preserve to help reproduce or review a final generated asset?
    • Only the prompt, while deleting the delivered file
    • The model’s training dataset regardless of rights
    • A screenshot of the first preview only
    • The actual final asset and relevant generation settings