|
--- |
|
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). |
