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pip install transformers accelerate>=0.14.0 diffusers>=0.7.21import torch
2from diffusers import StableDiffusionPipeline
3
4repo = "Bingsu/my-k-anything-v3-0"
5pipe = StableDiffusionPipeline.from_pretrained(
6 repo, torch_dtype=torch.float16,
7)
8pipe.to("cuda")
9pipe.safety_checker = None1from typing import Optional
2import torch
3
4
5def gen_image(
6 prompt: str,
7 negative_prompt: Optional[str] = None,
8 seed: Optional[int] = None,
9 scale: float = 7.5,
10 steps: int = 30,
11):
12 if seed is not None:
13 generator = torch.Generator("cuda").manual_seed(seed)
14 else:
15 generator = None
16
17 image = pipe(
18 prompt=prompt,
19 negative_prompt=negative_prompt,
20 generator=generator,
21 guidance_scale=scale,
22 num_inference_steps=steps,
23 ).images[0]
24
25 return image1prompt = "파란색 포니테일 헤어, 브로치, 정장을 입은 성인 여성, 고퀄리티, 최고품질"
2negative = "저화질, 저품질, 텍스트"
3seed = 42467781
4scale = 12.0
5gen_image(prompt, negative, seed, scale)