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VideoCrafter:A Toolkit for Text-to-Video Generation and Editing

🤗 VideoCrafter is an open-source video generation and editing toolbox for crafting video content.
It currently includes the following THREE types of models.

GitHub logo VideoCrafter / VideoCrafter

A Toolkit for Text-to-Video Generation and Editing

VideoCrafter:A Toolkit for Text-to-Video Generation and Editing

Open In Colab Hugging Face Spaces GitHub

🔆 Introduction (Showcases)

🤗🤗🤗 VideoCrafter is an open-source video generation and editing toolbox for crafting video content.
It currently includes the following THREE types of models:

1. Base T2V: Generic Text-to-video Generation

We provide a base text-to-video (T2V) generation model based on the latent video diffusion models (LVDM) It can synthesize realistic videos based on the input text descriptions.

"Campfire at night in a snowy forest with starry sky in the background." "Cars running on the highway at night." "close up of a clown fish swimming. 4K" "astronaut riding a horse"

2. VideoLoRA: Personalized Text-to-Video Generation with LoRA

Based on the pretrained LVDM, we can create our own video generation models by finetuning it on a set of video clips or images describing a certain concept.

We adopt LoRA to implement the finetuning as it is easy…

https://github.com/VideoCrafter/VideoCrafter

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