metadata

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.