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Bf16 safetensors versions of the DynamiCrafter models by Doubiiu: https://huggingface.co/Doubiiu |
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<!-- Provide a quick summary of what the model is/does. --> |
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This is a video diffusion model that takes in a single or two still images as a conditioning <br> image and text prompt describing dynamics, and generates looping videos or interpolation from them. |
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## Model Details |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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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 320x512 <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:** CUHK & Tencent AI Lab |
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- **Model type:** Generative frame interpolation and looping video generation |
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- **Finetuned from model:** VideoCrafter1 (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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## 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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<!-- This section is meant to convey both technical and sociotechnical 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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