https://github.com/kefirchk/animatica-backend
Animatica is my diploma project that generates videos from text and images using neural networks. It automates animation creation with image generation, image-to-video conversion, and post-processing
https://github.com/kefirchk/animatica-backend
animation fastapi gan image-to-video machine-learning neural-networks python pytorch video-generation
Last synced: 2 months ago
JSON representation
Animatica is my diploma project that generates videos from text and images using neural networks. It automates animation creation with image generation, image-to-video conversion, and post-processing
- Host: GitHub
- URL: https://github.com/kefirchk/animatica-backend
- Owner: kefirchk
- License: mit
- Created: 2025-03-22T13:41:29.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2025-03-22T18:18:09.000Z (2 months ago)
- Last Synced: 2025-03-22T18:36:02.381Z (2 months ago)
- Topics: animation, fastapi, gan, image-to-video, machine-learning, neural-networks, python, pytorch, video-generation
- Language: Python
- Homepage:
- Size: 2.93 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Animatica-backend
## Table of Contents
- [Overview](#overview)
- [Requirements](#requirements)
- [Deploying on Local](#deploying-on-local)
- [Deploying via Docker](#deploying-via-docker)
## Overview
***Animatica*** is my diploma project that generates videos from text and
images using neural networks. It automates animation creation with image generation,
image-to-video conversion, and post-processing.
## Requirements⚠️
- Python 3.8+
- PyTorch
- Docker (for deployment through containers)
## Deploying on Local
**Step 1.**
Create a virtual environment.
###### *Linux/macOS:*
```bash
python3 -m venv venv
source venv/bin/activate
```
###### *Windows:*
```bash
python -m venv venv
source venv/Scripts/activate
```
**Step 2.**
```bash
pip install -r requirements.txt
```
**Step 3.**
```bash
streamlit run main.py
```
## Deploying via Docker
Below are the basic commands to manage docker.
###### Image creating
```bash
docker build . --tag animatica
docker run -p 8080:8080 animatica
```
###### Docker-compose
```bash
docker-compose up --build
docker-compsose down
```