Update README.md

README.md

@@ -36,12 +36,15 @@ weight_type = torch.float32     # or float16
 
 # Load model.
 pipe = StableDiffusionPipeline.from_pretrained(repo, torch_dtype=weight_type)
-# pipe.vae = AutoencoderKL.from_pretrained("IDKiro/sdxs-512-0.9/vae_large")     # use original VAE
+
+# use original VAE
+# pipe.vae = AutoencoderKL.from_pretrained("IDKiro/sdxs-512-0.9/vae_large")
+ 
 pipe.to("cuda")
 
 prompt = "portrait photo of a girl, photograph, highly detailed face, depth of field, moody light, golden hour"
 
-# Ensure using the same inference steps as the loaded model and CFG set to 0.
+# Ensure using 1 inference step and CFG set to 0.
 image = pipe(
     prompt, 
     num_inference_steps=1,