| import requests | |
| from PIL import Image | |
| from io import BytesIO | |
| from diffusers import StableDiffusionUpscalePipeline | |
| import torch | |
| # load model and scheduler | |
| model_id = "stabilityai/stable-diffusion-x4-upscaler" | |
| pipeline = StableDiffusionUpscalePipeline.from_pretrained(model_id, torch_dtype=torch.float16) | |
| pipeline = pipeline.to("cuda") | |
| # let's download an image | |
| url = "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd2-upscale/low_res_cat.png" | |
| response = requests.get(url) | |
| low_res_img = Image.open(BytesIO(response.content)).convert("RGB") | |
| low_res_img.save("low_res_cat.png") | |
| prompt = "a white cat" | |
| upscaled_image = pipeline(prompt=prompt, image=low_res_img).images[0] | |
| upscaled_image.save("upsampled_cat.png") | |