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pipeline_tag: text-to-video |
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# Locomotion - Onnx DirectML Optimized |
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## Amuse |
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https://www.amuse-ai.com/ |
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## Samples |
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<div align="center"> |
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<table width="80%"> |
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<tr class="image-row"> |
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<td style="width: 50%; height: 50px; text-align: center;"> |
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<video controls> |
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<source src="https://huggingface.co/TensorStack/Locomotion-amuse/resolve/main/Sample.webm" type="video/webm"> |
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</video> |
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</td> |
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<td style="width: 50%; height: 50px; text-align: center;"> |
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<video controls> |
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<source src="https://huggingface.co/TensorStack/Locomotion-amuse/resolve/main/Sample2.webm" type="video/webm"> |
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</video> |
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</td> |
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</tr> |
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<tr class="text-row"> |
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<th>A cute happy Corgi playing in park.</th> |
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<th>A cute raccoon playing guitar in the beach.</th> |
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</tr> |
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<tr class="image-row"> |
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<td style="width: 50%; height: 50px; text-align: center;"> |
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<video controls> |
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<source src="https://huggingface.co/TensorStack/Locomotion-amuse/resolve/main/Sample3.webm" type="video/webm"> |
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</video> |
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</td> |
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<td style="width: 50%; height: 50px; text-align: center;"> |
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<video controls> |
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<source src="https://huggingface.co/TensorStack/Locomotion-amuse/resolve/main/Sample4.webm" type="video/webm"> |
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</video> |
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</td> |
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</tr> |
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<tr class="text-row"> |
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<th>A quiet beach at dawn and the waves gently lapping.</th> |
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<th>Black and white street photography of a rainy night in New York, reflections on wet pavement</th> |
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</tr> |
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</table> |
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</div> |
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### **Credits** |
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Thanks to the developers of the following repositories, their work was instrumental in getting TextToVideo working with ONNX |
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- [AnimateDiff](https://huggingface.co/guoyww/animatediff) |
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- [AnimateLCM](https://huggingface.co/wangfuyun/AnimateLCM) |
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- [Tune-A-Video](https://github.com/showlab/Tune-A-Video) |
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- [TemporalDiff](https://huggingface.co/CiaraRowles/TemporalDiff) |
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- [GIMM-VFI](https://github.com/GSeanCDAT/GIMM-VFI) |
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- [AnimateDiff-Evolved](https://github.com/Kosinkadink/ComfyUI-AnimateDiff-Evolved) |
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- [StoryDiffusion](https://github.com/HVision-NKU/StoryDiffusion) |
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- [ECCV2022-RIFE](https://github.com/hzwer/ECCV2022-RIFE) |
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