Update README.md

README.md

@@ -29,6 +29,7 @@ VGen can produce high-quality videos from the input text, images, desired motion
 
 
 ## 🔥News!!!
+- __[2024.02]__ [I2VGen-XL](doc/i2vgen-xl.md) is now supported in 🧨 diffusers
 - __[2023.12]__ We release the high-efficiency video generation method [VideoLCM](https://arxiv.org/abs/2312.09109)
 - __[2023.12]__ We release the code and model of I2VGen-XL and the ModelScope T2V
 - __[2023.12]__ We release the T2V method [HiGen](https://higen-t2v.github.io) and customizing T2V method [DreamVideo](https://dreamvideo-t2v.github.io).
@@ -250,7 +251,7 @@ from diffusers.utils import load_image, export_to_gif
 repo_id = "ali-vilab/i2vgen-xl" 
 pipeline = I2VGenXLPipeline.from_pretrained(repo_id, torch_dtype=torch.float16, variant="fp16").to("cuda")
 
-image_url = "https://github.com/ali-vilab/i2vgen-xl/blob/main/data/test_images/img_0009.png?download=true"
+image_url = "https://huggingface.co/datasets/diffusers/docs-images/resolve/main/i2vgen_xl_images/img_0009.png"
 image = load_image(image_url).convert("RGB")
 prompt = "Papers were floating in the air on a table in the library"