March 2026
Intermediate
504 pages
11h 26m
Korean
Content preview from 파이토치로 배우는 LLM & AI
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485
20
장
LoRA와 diffusers를 사용한 이미지 생성 모델 튜닝
20.1.3
diffusers
로 모델 미세 튜닝하기
앞서 언급했듯이
diffusers
저장소를 복제하면 다양한 작업을 수행하는 데 도움이 되는 예
제 스크립트를 얻을 수 있습니다. 그중 하나는 텍스트-투-이미지
LoRA
미세 튜닝입니다. 하
지만 이 스크립트를 실행하기 전에 여러 장치에 훈련을 분산하고 하드웨어를 추상화해 주는
accelerate
라이브러리를 사용하는 것이 좋습니다.
accelerate
로 설정을 정의할 수 있습니
다. 자세한 내용은 허깅 페이스 웹사이트
4
를 참고하세요.
간단하게 콜랩을 사용할 때 기본
accelerate
프로파일을 설정하는 방법은 다음과 같습니다.
from accelerate.utils import write_basic_config
write_basic_config()
이를 수행한 뒤 다음처럼
accelerate
launch
명령으로 훈련 스크립트를 실행합니다.
!accelerate launch train_text_to_image_lora.py \
--pretrained_model_name_or_path="stabilityai/stable-diffusion-2" \
--dataset_name="lmoroney/misato" \
--caption_column ...
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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.