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A multi-modal generative model that combines 3 different generative AI models to create a story based on a prompt, in the voice of a given person, and animated as spoken by a given person.

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GrImReApEr-1470/Animated_Story_Teller

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https://colab.research.google.com/drive/1kMSdC1vr9dEcYc39Y6H5owaIwZBN4A52?usp=sharing

Animated_Story_Teller

A multi-modal generative model that combines 3 different generative AI models to create a story based on a prompt, in the voice of a given person, and animated as spoken by a given person.

It uses a finetuned GPT-2 model which was finetuned on 4000 reddit stories to generate a random story based on a prompt(start of the story).

Next, it uses xtts_v2 model to convert the generated story into an audio file using a voice sample provided to it.

Further, it uses the MakeItTalk model to create an animation of a given face to give an effect that the mouth/face movements match the words spoken in the audio file.

download.1.mp4

Voice Used: Neil deGrasse Tyson

Face Used: Barack Obama

Prompt: This is the story of me in my teens.

Generated Story: This is the story of me in my teens. I was a middle school girl. I had my first crush, I was a high school kid. But, as a high schooler, I was a lot of girls. As I grew up, I learned to hate this world that I hated. I began to hate the place I was in. I began to hate the way people were treated. For instance, when my mom was diagnosed with cancer, I lost a lot

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A multi-modal generative model that combines 3 different generative AI models to create a story based on a prompt, in the voice of a given person, and animated as spoken by a given person.

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