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# DynamiCrafter (576x1024) (text-)Image-to-Video/Image Animation Model Card |
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DynamiCrafter (576x1024) (Text-)Image-to-Video is a video diffusion model that <br> takes in a still image as a conditioning image and text prompt describing dynamics,<br> and generates videos from it. |
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## Model Details |
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### Model Description |
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DynamiCrafter, a (Text-)Image-to-Video/Image Animation approach, aims to generate <br> |
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short video clips (~2 seconds) from a conditioning image and text prompt. |
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This model was trained to generate 16 video frames at a resolution of 576x1024 <br> |
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given a context frame of the same resolution. |
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- **Developed by:** CUHK & Tencent AI Lab |
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- **Funded by [optional]:** CUHK & Tencent AI Lab |
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- **Model type:** Generative (text-)image-to-video model |
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- **Finetuned from model [optional]:** DynamiCrafter (320x512) |
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### Model Sources |
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For research purpose, we recommend our Github repository (https://github.com/Doubiiu/DynamiCrafter), <br> |
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which includes the detailed implementations. |
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- **Repository:** https://github.com/Doubiiu/DynamiCrafter |
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- **Paper:** https://arxiv.org/abs/2310.12190 |
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- **Demo1:** https://huggingface.co/spaces/Doubiiu/DynamiCrafter |
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- **Demo2:** https://replicate.com/camenduru/dynami-crafter-576x1024 |
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## Uses |
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### Direct Use |
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> |
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We develop this repository for RESEARCH purposes, so it can only be used for personal/research/non-commercial purposes. |
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## Limitations |
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- The generated videos are relatively short (2 seconds, FPS=8). |
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- The model cannot render legible text. |
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- Faces and people in general may not be generated properly. |
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- The autoencoding part of the model is lossy, resulting in slight flickering artifacts. |
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## How to Get Started with the Model |
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Check out https://github.com/Doubiiu/DynamiCrafter |
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