Text-to-Video Model with Hugging Face Transformers
This repository contains a text-to-video generation model fine-tuned using the Hugging Face Transformers library. The model has been trained on various datasets over approximately 1000 steps to generate video content from textual input.
Overview
The text-to-video model developed here is based on Hugging Face's Transformers, specializing in translating textual descriptions into corresponding video sequences. It has been fine-tuned on diverse datasets, enabling it to understand and visualize a wide range of textual prompts, generating relevant video content.
Features
- Transforms text input into corresponding video sequences
- Fine-tuned using Hugging Face Transformers with datasets spanning various domains
- Capable of generating diverse video content based on textual descriptions
- Handles nuanced textual prompts to generate meaningful video representations
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The HF Inference API does not support text-to-video models for diffusers library.