LUCY
Lucy-14B is a powerful image-to-video model that generates smooth, high-quality videos from still images with exceptional speed and realism.
Avg Run Time: 25.000s
Model Slug: decart-lucy-14b-image-to-video
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Output
Example Result
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API & SDK
Create a Prediction
Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.
Get Prediction Result
Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.
Readme
Overview
Lucy-14B is a state-of-the-art image-to-video generation model developed by Decart. It is designed to transform still images into smooth, high-quality video clips with exceptional speed, setting a new benchmark for rapid video synthesis. The model is engineered for both creative and professional workflows, enabling users to generate multiple video iterations quickly without sacrificing output quality.
Lucy-14B leverages a hyper-optimized architecture and inference stack, allowing it to produce 5-second video clips in approximately 6.5 seconds—over seven times faster than comparable large video models. This speed is achieved without compromising on realism or visual fidelity, making Lucy-14B particularly suitable for applications that demand both quality and efficiency. The model’s unique combination of speed, quality, and scalability distinguishes it from earlier image-to-video solutions, which often required significant trade-offs between these factors.
Technical Specifications
- Architecture: Proprietary hyper-optimized architecture (details not fully disclosed)
- Parameters: 14 billion (14B)
- Resolution: Not explicitly specified, but designed for high-quality video output; comparable models support up to 720p or higher
- Input/Output formats: Input—still images; Output—video clips (common formats such as MP4 or GIF, depending on deployment)
- Performance metrics: Generates 5-second video clips in approximately 6.5 seconds, more than 7× faster than previous baseline models
Key Considerations
- Lucy-14B is optimized for speed, enabling rapid iteration and content creation without significant quality loss
- For best results, use high-resolution, well-lit input images to maximize video quality
- The model is designed for short video clips (e.g., 5 seconds); chaining outputs may be required for longer sequences
- Prompt engineering and careful input selection can significantly influence motion realism and style consistency
- There is a trade-off between speed and the complexity of motion or scene changes; simpler prompts yield faster, more reliable results
- Licensing is non-commercial and revocable, which may impact downstream usage for business or dataset creation
Tips & Tricks
- Use clear, high-quality source images to ensure the generated video maintains sharpness and detail
- For smoother motion, select images with clear subject-background separation and minimal visual clutter
- To extend video length, chain multiple generations by using the last frame of one clip as the starting image for the next
- Experiment with prompt variations to guide motion direction, style, or specific animation effects
- Iteratively refine prompts and input images based on preview outputs to achieve desired results
- For advanced workflows, consider integrating Lucy-14B into custom pipelines that support batch processing or automated prompt tuning
Capabilities
- Generates smooth, realistic video clips from single still images at unprecedented speed
- Maintains high visual fidelity and temporal coherence across frames
- Supports rapid prototyping and creative iteration due to fast inference times
- Adaptable to a wide range of visual styles and subject matter, depending on input image quality
- Technical strength lies in balancing speed, quality, and scalability for both creative and professional use cases
What Can I Use It For?
- Professional applications such as rapid video prototyping, storyboarding, and pre-visualization in media production
- Creative projects including animated artwork, social media content, and experimental video art
- Business use cases like marketing asset generation, product visualization, and quick-turnaround promotional videos
- Personal projects such as animated avatars, digital storytelling, and hobbyist video creation
- Industry-specific applications in advertising, entertainment, education, and design, where fast, high-quality video synthesis is valuable
Things to Be Aware Of
- Some users report that the model’s non-commercial license is restrictive and potentially ambiguous, which may limit its use in commercial or derivative works
- Community feedback highlights the need for clear documentation on integration with popular video and AI toolchains
- Hardware requirements are not fully detailed, but high-end GPUs are likely necessary for optimal performance
- Consistency across longer video sequences may require manual chaining and careful prompt management
- Positive user feedback centers on the model’s speed, ease of use, and high output quality compared to previous solutions
- Common concerns include licensing restrictions, lack of open weights, and limited transparency regarding technical details
- Users note that while Lucy-14B is much faster than competitors, extremely complex scenes or motions may still challenge the model’s coherence
Limitations
- The model is currently limited to non-commercial use under a revocable license, restricting its deployment in business-critical or commercial workflows
- Output length is typically constrained to short clips (e.g., 5 seconds), requiring additional effort to create longer videos
- Technical details about architecture and resource requirements are not fully disclosed, which may hinder advanced customization or integration
Pricing
Pricing Detail
This model runs at a cost of $0.40 per execution.
Pricing Type: Fixed
The cost remains the same regardless of which model you use or how long it runs. There are no variables affecting the price. It is a set, fixed amount per run, as the name suggests. This makes budgeting simple and predictable because you pay the same fee every time you execute the model.
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