March 2026
Intermediate
504 pages
11h 26m
Korean
Content preview from 파이토치로 배우는 LLM & AI
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479
20
장
LoRA와 diffusers를 사용한 이미지 생성 모델 튜닝
LoRA
와
diffusers
를 사용한
이미지 생성 모델 튜닝
CHAPTER
20
19
장에서 디퓨전의 개념과 디퓨전 모델이 프롬프트를 기반으로 이미지를 생성하는 방법을 살
펴보았습니다.
16
장에서 살펴본 텍스트 기반 모델처럼 텍스트-투-이미지 모델도 특정 작업을
위해 미세 튜닝할 수 있습니다. 디퓨전 모델의 구조와 이를 미세 튜닝하는 방법은 한 권의 책으
로 쓸 수 있을 만큼 방대합니다. 따라서 이 장에서는 고수준의 개념을 살펴보겠습니다. 여기에
는
DreamBooth
, 텍스추얼 인버전
textual
inversion
,
LoRA
low
-
ranking
adaptation
와 같은 방법들이 있습
니다. 이번 장에서는 최신 기술인
LoRA
를 소개하며,
LoRA
를 사용하면 매우 적은 데이터로 특
정 주제나 스타일에 맞게 모델을 커스터마이징할 수 있습니다.
transformers
와 마찬가지로
diffusers
라이브러리는 디퓨전 모델을 가능한 쉽게 사용하고
미세 튜닝할 수 있도록 설계되었습니다. 이를 위해 미리 만들어진 스크립트를 제공합니다.
그림
20-1
LoRA
로 미세 튜닝한 스테이블 디퓨전
2
로 생성한 이미지
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.