1import torch
2from diffusers import DiffusionPipeline
3
4pipe = DiffusionPipeline.from_pretrained(
5 "stablediffusionapi/counterfeit-v30",
6 torch_dtype=torch.float16,
7 custom_pipeline="Bingsu/adsdcn_pipeline"
8)
9pipe.safety_checker = None
10pipe.to("cuda")
11
12common = {"prompt": "masterpiece, best quality, 1girl", "num_inference_steps": 28}
13result = pipe(common=common)
14
15images = result[0]