Update README.md

README.md

@@ -8,3 +8,24 @@ license: mit
 `taesd-x4-upscaler` is useful for [real-time previewing](https://twitter.com/madebyollin/status/1679356448655163394) of the upsampling process.
 
 This repo contains `.safetensors` versions of the `taesd-x4-upscaler` weights.
+
+## Using in 🧨 diffusers
+
+```python
+import requests
+from PIL import Image
+from io import BytesIO
+
+url = "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd2-upscale/low_res_cat.png"
+low_res_img = Image.open(BytesIO(requests.get(url).content)).convert("RGB").resize((128, 128))
+
+import torch
+from diffusers import StableDiffusionUpscalePipeline, AutoencoderTiny
+
+pipe = StableDiffusionUpscalePipeline.from_pretrained("stabilityai/stable-diffusion-x4-upscaler", torch_dtype=torch.float16)
+pipe.vae = AutoencoderTiny.from_pretrained("madebyollin/taesd-x4-upscaler", torch_dtype=torch.float16)
+pipe = pipe.to("cuda")
+
+image = pipe("a white cat", image=low_res_img, num_inference_steps=25).images[0]
+image.save("upsampled.png")
+```