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# ToonCrafter (512x320) Generative Cartoon Interpolation Model Card |
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ToonCrafter (512x320) is a video diffusion model that <br> takes in two still images as conditioning images and text prompt describing dynamics,<br> and generates interpolation videos from them. |
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## Model Details |
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### Model Description |
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ToonCrafter, a generative cartoon interpolation approach, aims to generate <br> |
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short video clips (~2 seconds) from two conditioning images (starting frame and ending frame) and text prompt. |
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This model was trained to generate 16 video frames at a resolution of 512x320 <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:** Video Diffusion Model |
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- **Finetuned from model:** DynamiCrafter-interpolation (512x320) |
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### Model Sources |
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For research purpose, we recommend our Github repository (https://github.com/ToonCrafter/ToonCrafter), <br> |
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which includes detailed implementations. |
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- **Repository:** https://github.com/ToonCrafter/ToonCrafter |
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- **Paper:** https://arxiv.org/abs/2405.17933 |
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- **Project page:** https://doubiiu.github.io/projects/ToonCrafter/ |
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- **Demo1:** https://huggingface.co/spaces/Doubiiu/tooncrafter |
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- **Demo2:** https://replicate.com/fofr/tooncrafter |
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## Uses |
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Feel free to use it under the Apache-2.0 license. Note that we don't have any official commercial product for ToonCrafter currently. |
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<!-- ### Direct Use |
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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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- 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/ToonCrafter/ToonCrafter |
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