Update README.md

README.md

@@ -1,5 +1,27 @@
----
-license: other
-license_name: tencent-hunyuan-community
-license_link: https://huggingface.co/Tencent-Hunyuan/HunyuanDiT/blob/main/LICENSE.txt
----
+---
+license: other
+license_name: tencent-hunyuan-community
+license_link: https://huggingface.co/Tencent-Hunyuan/HunyuanDiT/blob/main/LICENSE.txt
+---
+```py
+from diffusers import HunyuanDiT2DControlNetModel, HunyuanDiTControlNetPipeline
+import torch
+controlnet = HunyuanDiT2DControlNetModel.from_pretrained("Tencent-Hunyuan/HunyuanDiT-v1.1-ControlNet-Diffusers-Depth", torch_dtype=torch.float16)
+
+pipe = HunyuanDiTControlNetPipeline.from_pretrained("Tencent-Hunyuan/HunyuanDiT-v1.1-Diffusers", 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-v1.1-ControlNet-Diffusers-Depth/resolve/main/depth.jpg?download=true')
+
+## You may also use English prompt as HunyuanDiT supports both English and Chinese
+prompt = "在茂密的森林中，一只黑白相间的熊猫静静地坐在绿树红花中，周围是山川和海洋。背景是白天的森林，光线充足"
+# prompt = "In the dense forest, a black and white panda sits quietly in green trees and red flowers, surrounded by mountains, rivers, and the ocean. The background is the forest in a bright environment."
+image = pipe(
+    prompt,
+    height=1024,
+    width=1024,
+    control_image=cond_image,
+    num_inference_steps=50,
+).images[0]
+```