Guide-linked quiz · Medium Level

Classifier-Free Guidance Quiz

Review classifier-free guidance, conditional dropout, quality-diversity tradeoff, inference costs, and guidance scale. Check scope and assumptions.

Related guide pathsClassifier Free Guidance
Question 1 of 8

Why do diffusion models apply classifier-free guidance?

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  1. Why do diffusion models apply classifier-free guidance?
    • To strengthen how closely the output follows the conditioning prompt
    • To compress the model into a smaller size
    • To remove the text encoder entirely
    • To convert images into audio
  2. How does a model learn to make unconditional predictions for classifier-free guidance?
    • By training a second separate classifier
    • By randomly dropping the conditioning during training
    • By using only black images
    • By disabling the GPU
  3. What does increasing the guidance scale generally do?
    • Always improves diversity
    • Removes the prompt's influence
    • Strengthens prompt adherence but can cause oversaturation
    • Makes the image grayscale
  4. Roughly how many forward passes per denoising step does standard classifier-free guidance require?
    • Zero
    • Ten
    • One hundred
    • Two (one conditional, one unconditional)
  5. What advantage does classifier-free guidance have over classifier guidance?
    • It needs no separately trained classifier
    • It requires more training data
    • It only works on text models
    • It eliminates the diffusion process
  6. In the common classifier-free guidance formula, what does guidance scale s=0 produce?
    • The conditional prediction with extra amplification
    • The unconditional model prediction without conditioning
    • A prediction from a separately trained classifier
    • A sample with all denoising removed
  7. How does classifier-free guidance combine model outputs at inference?
    • It combines two image classifiers
    • It removes the conditional prompt
    • It combines conditional and unconditional score estimates
    • It adds a learned reward model after decoding
  8. What does a guidance scale of 1 generally correspond to in the common formulation?
    • The unconditional prediction only
    • A classifier-based gradient
    • A zero-noise image
    • The conditional prediction without extra guidance amplification

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