Update README.md

README.md

@@ -3,6 +3,10 @@ pipeline_tag: text-to-video
 license: other
 license_name: tencent-hunyuan-community
 license_link: LICENSE
+library_name: diffusers
+tags:
+- video
+- HunyuanVideoPipeline
 ---
 
 <!-- ## **HunyuanVideo** -->
@@ -215,6 +219,37 @@ We list the height/width/frame settings we support in the following table.
 |         540p          |        544px960px129f        |  960px544px129f | 624px832px129f  |  832px624px129f |  720px720px129f |
 | 720p (recommended)    |       720px1280px129f        | 1280px720px129f | 1104px832px129f | 832px1104px129f | 960px960px129f  |
 
+### Using Diffusers
+
+HunyuanVideo can be used directly from Diffusers. Install the latest version of Diffusers.
+
+```python
+import torch
+from diffusers import HunyuanVideoPipeline, HunyuanVideoTransformer3DModel
+from diffusers.utils import export_to_video
+
+model_id = "tencent/HunyuanVideo"
+transformer = HunyuanVideoTransformer3DModel.from_pretrained(
+    model_id, subfolder="transformer", torch_dtype=torch.bfloat16
+)
+pipe = HunyuanVideoPipeline.from_pretrained(model_id, transformer=transformer, torch_dtype=torch.float16)
+
+# Enable memory savings
+pipe.vae.enable_tiling()
+pipe.enable_model_cpu_offload()
+
+output = pipe(
+    prompt="A cat walks on the grass, realistic",
+    height=320,
+    width=512,
+    num_frames=61,
+    num_inference_steps=30,
+).frames[0]
+export_to_video(output, "output.mp4", fps=15)
+```
+
+Refer to the [documentation](https://huggingface.co/docs/diffusers/main/en/api/pipelines/hunyuan_video) for more information.
+
 ### Using Command Line
 
 ```bash
@@ -265,4 +300,4 @@ If you find [HunyuanVideo](https://arxiv.org/abs/2412.03603) useful for your res
 
 ## Acknowledgements
 We would like to thank the contributors to the [SD3](https://huggingface.co/stabilityai/stable-diffusion-3-medium), [FLUX](https://github.com/black-forest-labs/flux), [Llama](https://github.com/meta-llama/llama), [LLaVA](https://github.com/haotian-liu/LLaVA), [Xtuner](https://github.com/InternLM/xtuner), [diffusers](https://github.com/huggingface/diffusers) and [HuggingFace](https://huggingface.co) repositories, for their open research and exploration.
-Additionally, we also thank the Tencent Hunyuan Multimodal team for their help with the text encoder. 
+Additionally, we also thank the Tencent Hunyuan Multimodal team for their help with the text encoder.