README.md

---
license: apache-2.0
language:
- en
pipeline_tag: text-to-video
tags:
- art
- code
---
# RCNA MINI

**RCNA MINI** is a compact **LoRA** (Low-Rank Adaptation) model designed for generating high-quality, 4-step text-to-video outputs. It can create video clips ranging from 4 to 16 seconds long, making it ideal for generating short animations with rich details and smooth transitions.

## Key Features:
- **4-step Text-to-Video**: Generates videos from a text prompt in just 4 steps.
- **Video Length**: Can generate videos from 4 seconds to 16 seconds long.
- **High Quality**: Supports high-resolution and detailed outputs (up to 8K).
- **Fast Sampling**: Leveraging decoupled consistency learning, the model is optimized for speed while maintaining quality.

## Example Outputs:

- **Prompt**: "Astronaut in a jungle, cold color palette, muted colors, detailed, 8K"
  - Generates a high-quality video with rich details and smooth motion.

## How it Works:
RCNA MINI is based on the LoRA architecture, which fine-tunes diffusion models using low-rank adaptations. This results in faster generation and less computational overhead compared to full model retraining.

## Applications:
- Short-form animations for social media content
- Video generation for creative projects
- Artistic video generation based on textual descriptions

## Model Details:
- **Architecture**: LoRA applied to diffusion models
- **Inference Steps**: 4-step generation
- **Output Length**: 4 to 16 seconds

## License:
This model is licensed under the [MIT License](LICENSE).