Update README.md

README.md

@@ -48,7 +48,43 @@ The `adapter_model.safetensors` is based on [WAN-2.2-TI2V](https://huggingface.c
 
 ## 🚀 Inference
 ```
-TBD
+import torch
+from huggingface_hub import snapshot_download
+from diffusers import WanPipeline, AutoencoderKLWan
+from diffusers.utils import export_to_video
+from peft import PeftModel
+
+dtype = torch.bfloat16
+device = "cuda"
+
+model_id = "Wan-AI/Wan2.2-TI2V-5B-Diffusers"
+checkpoint = snapshot_download(repo_id="Bujiazi/HPSD", repo_type="model")
+
+vae = AutoencoderKLWan.from_pretrained(model_id, subfolder="vae", torch_dtype=torch.float32)
+pipe = WanPipeline.from_pretrained(model_id, vae=vae, torch_dtype=dtype)
+pipe.to(device)
+
+pipe.transformer = PeftModel.from_pretrained(pipe.transformer, checkpoint, torch_dtype=dtype).to(device)
+
+height = 704
+width = 1280
+num_frames = 81
+num_inference_steps = 50
+guidance_scale = 5.0
+
+prompt = "Two anthropomorphic cats in comfy boxing gear and bright gloves fight intensely on a spotlighted stage."
+negative_prompt = "色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走"
+
+output = pipe(
+    prompt=prompt,
+    negative_prompt=negative_prompt,
+    height=height,
+    width=width,
+    num_frames=num_frames,
+    guidance_scale=guidance_scale,
+    num_inference_steps=num_inference_steps,
+).frames[0]
+export_to_video(output, "hpsd_test.mp4", fps=16)
 ```