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