Update README.md

README.md

@@ -9,13 +9,13 @@ from diffusers import HunyuanDiT2DControlNetModel, HunyuanDiTControlNetPipeline
 import torch
 
 
-controlnet = HunyuanDiT2DControlNetModel.from_pretrained("Tencent-Hunyuan/HunyuanDiT-v1.2-ControlNet-Diffusers-Distilled-Canny", torch_dtype=torch.float16)
+controlnet = HunyuanDiT2DControlNetModel.from_pretrained("Tencent-Hunyuan/HunyuanDiT-v1.2-ControlNet-Diffusers-Canny", torch_dtype=torch.float16)
 
 pipe = HunyuanDiTControlNetPipeline.from_pretrained("Tencent-Hunyuan/HunyuanDiT-v1.2-Diffusers-Distilled", controlnet=controlnet, torch_dtype=torch.float16)
 pipe.to("cuda")
 
 from diffusers.utils import load_image
-cond_image = load_image('https://huggingface.co/Tencent-Hunyuan/HunyuanDiT-v1.2-ControlNet-Diffusers-Distilled-Canny/resolve/main/canny.jpg?download=true')
+cond_image = load_image('https://huggingface.co/Tencent-Hunyuan/HunyuanDiT-v1.2-ControlNet-Diffusers-Canny/resolve/main/canny.jpg?download=true')
 
 ## You may also use English prompt as HunyuanDiT supports both English and Chinese
 prompt="在夜晚的酒店门前，一座古老的中国风格的狮子雕像矗立着，它的眼睛闪烁着光芒，仿佛在守护着这座建筑。背景是夜晚的酒店前，构图方式是特写，平视，居中构图。这张照片呈现了真实摄影风格，蕴含了中国雕塑文化，同时展现了神秘氛围"
@@ -31,4 +31,6 @@ image = pipe(
     control_image=cond_image,
     num_inference_steps=50,
 ).images[0]
+
+image.save('./image.png')
 ```