| # UPDATE |
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| Added "cond-image-leakage" (CIL) versions of the 1024 and 512 models from https://huggingface.co/GraceZhao/DynamiCrafter-CIL-1024 |
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| https://github.com/thu-ml/cond-image-leakage |
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| # For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1 |
| # Doc / guide: https://huggingface.co/docs/hub/model-cards |
| {} |
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| Bf16 safetensors versions of the DynamiCrafter models by Doubiiu: https://huggingface.co/Doubiiu |
| __________________________________________________________ |
| <!-- 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> |
| 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> |
| given a context frame of the same resolution. |
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| - **Developed by:** CUHK & Tencent AI Lab |
| - **Funded by:** CUHK & Tencent AI Lab |
| - **Model type:** Generative frame interpolation and looping video generation |
| - **Finetuned from model:** VideoCrafter1 (320x512) |
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| ### Model Sources |
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| <!-- Provide the basic links for the model. --> |
| For research purpose, we recommend our Github repository (https://github.com/Doubiiu/DynamiCrafter), <br> |
| which includes the detailed implementations. |
| - **Repository:** https://github.com/Doubiiu/DynamiCrafter |
| - **Paper:** https://arxiv.org/abs/2310.12190 |
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| ## Uses |
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| <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
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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. --> |
| - The generated videos are relatively short (2 seconds, FPS=8). |
| - The model cannot render legible text. |
| - Faces and people in general may not be generated properly. |
| - 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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