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An unofficial code implementation of "Mora: Enabling Generalist Video Generation via A Multi-Agent Framework"

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This is an unofficial implementation of "Mora: Enabling Generalist Video Generation via A Multi-Agent Framework".

We use GPT-3.5-turbo to enhance the prompt.

We use models SDXL, InstructPix2Pix, and SVD to realize functions text-to-image, image-to-image, and image-to-video, respectively.

For arguments of main:

prompt: description of the scene.
opt: select the task. choice=['txt2vid', 'txtcond2video', 'exdvid', 'vid2vid', 'simdigwrd'].
n_steps: time steps for SDXL and InstructPix2Pix.
num_iterations: the length of the generated video is 5*num_iterations. 
video_path: the path of the video for video extension or video editing.
cache_dir: save the pre-trained model.

You can control the length of each generated video by modifying the fps of line 81. The total length of the generated video is 25*num_iterations/fps

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An unofficial code implementation of "Mora: Enabling Generalist Video Generation via A Multi-Agent Framework"

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