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README.md

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-license: apache-2.0
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+---
+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).