finish example

README.md

@@ -28,8 +28,18 @@ pipe.to("cuda")
 
 refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-0.9", vae=vae, torch_dtype=torch.float16, use_safetensors=True, variant="fp16")
 refiner.to("cuda")
+
+n_steps = 40
+high_noise_frac = 0.7
+
+prompt = "A majestic lion jumping from a big stone at night"
+
+image = base(prompt=prompt, num_inference_steps=n_steps, denoising_end=high_noise_frac, output_type="latent").images
+image = refiner(prompt=prompt, num_inference_steps=n_steps, denoising_start=high_noise_frac, image=image).images[0]
 ```
 
+![](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/lion_refined.png)
+
 ## Details
 
 SDXL-VAE generates NaNs in fp16 because the internal activation values are too big: