feat(src): :rocket: Add example script

quantization.py

@@ -0,0 +1,26 @@
+import torch
+from diffusers import BitsAndBytesConfig as DiffusersBitsAndBytesConfig
+from diffusers import HunyuanVideoTransformer3DModel, HunyuanVideoPipeline
+from diffusers.utils import export_to_video
+
+quant_config = DiffusersBitsAndBytesConfig(load_in_8bit=True)
+# model = "tencent/HunyuanVideo"
+model = "hunyuanvideo-community/HunyuanVideo"
+transformer_8bit = HunyuanVideoTransformer3DModel.from_pretrained(
+    model,
+    subfolder="transformer",
+    quantization_config=quant_config,
+    torch_dtype=torch.float16,
+    # device_map="balanced",
+)
+
+pipeline = HunyuanVideoPipeline.from_pretrained(
+    "hunyuanvideo-community/HunyuanVideo",
+    transformer=transformer_8bit,
+    torch_dtype=torch.float16,
+    device_map="balanced",
+)
+
+prompt = "A cat walks on the grass, realistic style."
+video = pipeline(prompt=prompt, num_frames=61, num_inference_steps=3).frames[0]
+export_to_video(video, "cat.mp4", fps=15)