Prisma: Text-to-Video Generation Model

Prisma is an advanced text-to-video generation model that transforms textual descriptions into high-quality video content. Built on state-of-the-art transformer architecture, Prisma enables creative video generation from natural language prompts.

Features

• High-quality video generation from text descriptions
• Support for various video resolutions and frame rates
• Efficient inference with optimized model architecture
• Easy-to-use API for integration

Installation

pip install -r requirements.txt

Quick Start

from prisma import PrismaModel

model = PrismaModel()
video = model.generate("A beautiful sunset over the ocean")
video.save("output.mp4")

Inference Example

To generate a video from a text prompt, use the inference script as follows:

python prisma/inference.py --model-path /path/to/model/weights --prompt "A beautiful sunset over the ocean" --output output.mp4 --max-frames 32 --frame-size 256 256

This will load the trained model, generate a video based on the provided prompt, and save it as output.mp4.

License

This project is licensed under the Apache 2.0 License - see the LICENSE file for details.