Update README.md

README.md

@@ -48,7 +48,8 @@ image = load_image("https://huggingface.co/datasets/hf-internal-testing/diffuser
 controlnet_conditioning_scale = 0.5  # recommended for good generalization
 
 controlnet = ControlNetModel.from_pretrained(
-    "diffusers/controlnet-sdxl-1.0", subfolder="finetuned-from-20000-on-1024-checkpoint-24000", torch_dtype=torch.float16
+    "diffusers/controlnet-sdxl-1.0",
+    torch_dtype=torch.float16
 )
 vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
 pipe = StableDiffusionXLControlNetPipeline.from_pretrained(
@@ -68,7 +69,7 @@ images = pipe(
     prompt, image=image, controlnet_conditioning_scale=controlnet_conditioning_scale,
     ).images
 
-image[0]_.save(f"hug_lab.png")
+images[0].save(f"hug_lab.png")
 ```
 
 ![images_10)](./out_hug_lab_7.png)