Guide-linked quiz · Medium Level

Why AI Image Generators Get Hands Wrong Quiz

Tests why hands challenge diffusion models, including latent resolution, pose variety and sparse captions, and how ControlNet and inpainting fix them.

Question 1 of 8

According to the guide, what does a diffusion model mainly learn from image-caption pairs?

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  1. According to the guide, what does a diffusion model mainly learn from image-caption pairs?
    • Local visual patterns such as texture and lighting
    • Explicit anatomical rules about fingers
    • A built-in 3D skeleton of the human body
    • A counting procedure for body parts
  2. How does latent compression in Stable Diffusion make hands harder to draw?
    • It removes color information
    • It deletes hands from the training images
    • It shrinks the image by a factor of eight in each dimension, leaving a hand only a few latent cells
    • It converts the image into text
  3. Why do captions give models little help with hands?
    • Captions are written in an obscure language
    • Captions rarely mention hands or describe their pose
    • Captions are removed before training
    • Captions describe only hands and nothing else
  4. Which Midjourney version does the guide say was widely noted for better hands in 2023?
    • Version 1
    • Version 2
    • Version 3
    • Version 5
  5. What does an ADetailer-style detect-and-repaint workflow do?
    • Finds hand regions, regenerates each one at higher effective resolution through inpainting, and blends it back
    • Adds a watermark over the hands
    • Replaces hands with gloves automatically
    • Deletes the hands from the image
  6. Why do negative prompts like 'extra fingers' usually help little?
    • They are too long for the encoder
    • They only work on text rendering
    • They switch off classifier-free guidance
    • Few training captions described those errors, so the model has only a weak concept to steer away from
  7. What does a ControlNet OpenPose input provide when fixing hands?
    • A color palette
    • A new random seed
    • A skeleton with hand keypoints that supplies the geometry
    • A longer caption
  8. A suspected fake image has anatomically perfect hands. What should a fact-checker conclude?
    • The image is definitely a real photograph
    • Correct hands prove nothing either way, because newer generators often draw them correctly
    • The image must come from Midjourney
    • The image must carry a watermark

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