EasyAnimateV5-12b-zh-Control
| Property | Value |
|---|---|
| Model Size | 12B parameters |
| License | Apache License 2.0 |
| Paper | arXiv:2405.18991 |
| Framework | PyTorch |
What is EasyAnimateV5-12b-zh-Control?
EasyAnimateV5-12b-zh-Control is a state-of-the-art video generation model that enables controlled video synthesis using various conditioning inputs. Built on a 12B parameter architecture, it supports both text-to-video and image-to-video generation with multiple resolution options ranging from 512 to 1024 pixels.
Implementation Details
The model utilizes a transformer-based architecture with control capabilities for Canny edges, Depth maps, Pose estimation, and MLSD features. It generates videos at 8 frames per second for up to 49 frames (approximately 6 seconds), supporting both Chinese and English prompts.
- Multi-resolution support (512, 768, 1024)
- Bilingual prompt processing (Chinese and English)
- Multiple control conditions (Canny, Depth, Pose, MLSD)
- GPU memory optimization options for different hardware setups
Core Capabilities
- High-quality video generation with controllable features
- Support for various input resolutions up to 1024x1024
- Flexible GPU memory management modes
- Integration with standard deep learning frameworks
Frequently Asked Questions
Q: What makes this model unique?
The model combines high-parameter count (12B) with multiple control mechanisms, allowing precise control over generated videos while supporting both Chinese and English inputs. Its flexible memory management makes it accessible across different GPU configurations.
Q: What are the recommended use cases?
The model excels in controlled video generation tasks where specific visual features need to be maintained. It's particularly useful for creating videos with specific edge patterns, depth information, or pose sequences while maintaining high visual quality.
