Update README.md

README.md

@@ -43,7 +43,7 @@ unet = UNet2DConditionModel.from_pretrained(unet_path, torch_dtype=torch.float16
 pipe = StableDiffusionXLPipeline.from_pretrained(base_path, unet=unet, torch_dtype=torch.float16, variant="fp16").to("cuda")
 pipe.scheduler = EulerDiscreteScheduler.from_pretrained(base_path, subfolder="scheduler", torch_dtype=torch.float16)
 
-refiner = StableDiffusionXLImg2ImgPipeline.from_pretrained(base_path,torch_dtype=torch.float16, use_safetensors=True).to("cuda") # using "base_path" instead of "refiner_path" may have a better result
+refiner = StableDiffusionXLImg2ImgPipeline.from_pretrained(refiner_path,torch_dtype=torch.float16, use_safetensors=True).to("cuda")  # we found use base_path instead of refiner_path may get a better performance
 
 # Generate image.
 positive_prompt = "A fit Caucasian elderly woman, her wavy white hair above shoulders, wears a pink floral cotton long-sleeve shirt and a cotton hat against a natural landscape in an upper body shot"