Update README.md

README.md

@@ -20,4 +20,15 @@ PeftModel.from_pretrained(pipe.unet, adapter_id)
 prompt = "a dog wearing a knitted hat on the floor"
 image = pipe(prompt=prompt, num_inference_steps=4, guidance_scale=1.0).images[0]
 display(image)
+```
+
+# Saving complete model
+```python
+pipe.fuse_lora(lora_scale=1.0)
+pipe.unload_lora_weights()
+
+for param in pipe.unet.parameters():
+    param.data = param.data.contiguous()
+
+pipe.save_pretrained("./lcm-tiny-sd")
 ```