| ## Potat 1️⃣ | |
| First Open-Source 1024x576 Text To Video Model 🥳 | |
| ### Info | |
| Prototype Model <br /> | |
| Trained with https://lambdalabs.com ❤ 1xA100 (40GB) <br /> | |
| 2197 clips, 68388 tagged frames ( [salesforce/blip2-opt-6.7b-coco](https://huggingface.co/Salesforce/blip2-opt-6.7b-coco) ) <br /> | |
| train_steps: 10000 <br /> | |
| ### Dataset & Config | |
| https://huggingface.co/camenduru/potat1_dataset/tree/main | |
| ### Repos | |
| https://github.com/Breakthrough/PySceneDetect <br /> | |
| https://github.com/ExponentialML/Video-BLIP2-Preprocessor <br /> | |
| https://github.com/ExponentialML/Text-To-Video-Finetuning <br /> | |
| https://github.com/camenduru/Text-To-Video-Finetuning-colab <br /> | |
| ### Base Model | |
| https://huggingface.co/damo-vilab/modelscope-damo-text-to-video-synthesis <br /> | |
| https://www.modelscope.cn/models/damo/text-to-video-synthesis <br /> | |
| Thanks to ModelScope ❤ ExponentialML ❤ @DiffusersLib ❤ @LambdaAPI ❤ @cerspense ❤ @CiaraRowles1 ❤ @p1atdev_art ❤ <br /> | |
| Please try it 🐣 <br /> | |
| Potat 2️⃣ is in the oven ♨ <br /> |