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توليد الصور وتحريرهامبتدئ #18
إدخالنصصورة

يُعرض النص الكامل باللغة الإنجليزية؛ وقد تمت ترجمة العنوان والملخص.

ما الذي تعنيه هذه القدرة

Maps a natural-language description directly to an image: text in, pixels out, with no annotation or reference image in between. Unlike image-to-image it has no input image at all, and unlike image editing it does not modify an existing picture but synthesises a new one from scratch.

كيف تُنفَّذ تقنيًا

The dominant route is latent diffusion: the prompt is encoded into a conditioning vector, injected into a denoising network through cross-attention, denoised step by step in a compressed latent space, and decoded to pixels. Conditioning was later extended by classifier-free guidance, which amplifies prompt adherence by contrasting the conditioned and unconditioned directions. Training uses vast image–text pairs, and DALL·E 3 coupled prompt rewriting with generation in one pipeline, markedly improving adherence to long prompts.

منتجات تمثيلية

7

المؤسسات ذات الصلة

الاستخدامات الشائعة

  • Concept design and storyboards
  • Marketing assets and illustration
  • Pre-visualisation for games and film
  • Personalised avatars and wallpapers

كيف يُقاس مدى جودتها

FID
Distance to the real image distribution; lower is better
CLIP score
Semantic agreement between image and prompt
Human-preference Elo
Preference ranking from pairwise comparison

الحدود والصعوبات

  • Counting, precise spatial relations and ordering remain unreliable
  • Letters inside the image are frequently garbled, especially in long strings
  • Hands, limbs and object-contact points break down, often needing several resamples

المفاهيم الكامنة وراءها