March 2026
Intermediate
504 pages
11h 26m
Korean
Content preview from 파이토치로 배우는 LLM & AI
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471
19
장
허깅 페이스의 diffusers를 사용한 생성 모델 활용
from diffusers import StableDiffusion3Img2ImgPipeline
# 시드 값을 설정합니다.
seed = 123456
# 시드 값을 설정합니다.
generator = torch.Generator("cuda").manual_seed(seed)
# 모델을 로드합니다.
pipe = StableDiffusion3Img2ImgPipeline.from_pretrained(
"stabilityai/stable-diffusion-3.5-medium",
torch_dtype=torch.bfloat16)
pipe = pipe.to("cuda")
그다음 소스 이미지로 사용할 이미지를 지정합니다.
from PIL import Image
# 소스 이미지를 로드하고 전처리합니다.
init_image = Image.open("puppy1.jpg").convert("RGB")
여기서는 소스 이미지로 강아지 이미지를 선택했습니다 (그림
19
-
6
).
그림
19-6
강아지 이미지
472
2
부
모델 사용 ...
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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.