Updated license

README.md

@@ -1,11 +1,12 @@
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 pipeline_tag: text-to-video
+license: cc-by-nc-4.0
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 ![model example](https://i.imgur.com/ze1DGOJ.png)
 [example outputs](https://www.youtube.com/watch?v=HO3APT_0UA4) (courtesy of [dotsimulate](https://www.instagram.com/dotsimulate/))
 
 # zeroscope_v2 XL
-A watermark-free Modelscope-based video model capable of generating high quality video at 1024 x 576. This model was trained with offset noise using 9,923 clips and 29,769 tagged frames at 24 frames, 1024x576 resolution.<br />
+A watermark-free Modelscope-based video model capable of generating high quality video at 1024 x 576. This model was trained from the [original weights](https://huggingface.co/damo-vilab/modelscope-damo-text-to-video-synthesis) with offset noise using 9,923 clips and 29,769 tagged frames at 24 frames, 1024x576 resolution.<br />
 zeroscope_v2_XL is specifically designed for upscaling content made with [zeroscope_v2_576w](https://huggingface.co/cerspense/zeroscope_v2_567w) using vid2vid in the [1111 text2video](https://github.com/kabachuha/sd-webui-text2video) extension by [kabachuha](https://github.com/kabachuha). Leveraging this model as an upscaler allows for superior overall compositions at higher resolutions, permitting faster exploration in 576x320 (or 448x256) before transitioning to a high-resolution render.<br />
 
 zeroscope_v2_XL uses 15.3gb of vram when rendering 30 frames at 1024x576