Cuestionario vinculado a una guía · Medio Nivel

Prueba de redacción de indicaciones efectivas para la generación de imágenes

Prueba la estructura de las indicaciones para los modelos de imágenes, por qué falla la negación y funcionan las indicaciones negativas, y cómo la ponderación de las indicaciones, la escala de orientación y las semillas dan forma a los resultados.

Rutas de guía relacionadasEscribir indicaciones efectivas para la generación de imágenes
Pregunta 1 de 8

According to the guide, which element should usually come first in a well-structured image prompt?

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Las respuestas y explicaciones aparecen a medida que realiza el cuestionario.

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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