Add code snippet for Diffusers (#2)

- Add code snippet for Diffusers (de54b5141193bc2135850e3746863a9e4b52372c)


Co-authored-by: Patrick von Platen <patrickvonplaten@users.noreply.huggingface.co>

README.md

@@ -19,6 +19,42 @@ zeroscope_v2_576w uses 7.9gb of vram when rendering 30 frames at 576x320
 
 For upscaling, it's recommended to use [zeroscope_v2_XL](https://huggingface.co/cerspense/zeroscope_v2_XL) via vid2vid in the 1111 extension. It works best at 1024x576 with a denoise strength between 0.66 and 0.85. Remember to use the same prompt that was used to generate the original clip. <br />
 
+### Usage in 🧨 Diffusers
+
+Let's first install the libraries required:
+
+```bash
+$ pip install diffusers transformers accelerate torch
+```
+
+Now, generate a video:
+
+```py
+import torch
+from diffusers import DiffusionPipeline, DPMSolverMultistepScheduler
+from diffusers.utils import export_to_video
+
+pipe = DiffusionPipeline.from_pretrained("cerspense/zeroscope_v2_576w", torch_dtype=torch.float16)
+pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
+pipe.enable_model_cpu_offload()
+
+prompt = "Darth Vader is surfing on waves"
+video_frames = pipe(prompt, num_inference_steps=40, height=320, width=576, num_frames=24).frames
+video_path = export_to_video(video_frames)
+```
+
+Here are some results:
+
+<table>
+    <tr>
+        Darth vader is surfing on waves.
+        <br>
+        <img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/darthvader_cerpense.gif"
+            alt="Darth vader surfing in waves."
+            style="width: 576;" />
+        </center></td>
+    </tr>
+</table>
 
 ### Known issues