Kedis ku xidhan hagaha · Dhexdhexaad Heerka

Waa maxay sababta Sawir-dhaliyeyaasha AI ay u helaan Kedis Qaldan Gacmaha

Tijaabooyin sababta ay gacmuhu uga hortagaan moodooyinka faafinta, oo ay ku jiraan xallinta daahsoon, kala duwanaanshaha iyo qoraallada kooban, iyo sida ControlNet iyo rinjiyeynta u hagaajiyaan iyaga.

Su'aal 1 ee 8

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

Horudhac su'aal kasta8 su'aalo

Jawaabaha iyo sharraxaadaha waxay soo baxayaan markaad qaadanayso kediska.

  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