Wan2.1-T2V-14B - AI Video Models Tool
Overview
Wan2.1-T2V-14B is a text-to-video generation model in the Wan2.1 suite that supports 480P and 720P outputs. The repository documents text-to-video, image-to-video, and video-editing workflows, plus multilingual (Chinese and English) on-screen text generation and integrations with Diffusers and ComfyUI.
Key Features
- Text-to-video generation from natural language prompts
- Image-to-video conversion workflows
- Video editing capabilities for existing footage
- Generates multilingual on-screen text (Chinese and English)
- Supports 480P and 720P output resolutions
- Prompt extension methods documented in repository
- Single- and multi-GPU inference instructions provided
- Integration examples for Diffusers and ComfyUI
Ideal Use Cases
- Generate short videos directly from text prompts
- Convert static images into animated video clips
- Edit or enhance existing video footage
- Create videos with Chinese and English on-screen text
- Prototype visual concepts and storyboards quickly
- Integrate with research or production pipelines via Diffusers
Getting Started
- Open the model page on Hugging Face.
- Read the repository README for usage details.
- Install dependencies listed in the repository.
- Follow single- or multi-GPU inference instructions.
- Select 480P or 720P output resolution.
- Run supplied example prompts to validate setup.
- Follow Diffusers or ComfyUI integration examples if needed.
- Use prompt extension methods to refine outputs.
Pricing
Pricing or licensing is not disclosed in the repository metadata. Check the Hugging Face model page or contact the repository maintainers for licensing and usage terms.
Limitations
- Documented output resolutions are limited to 480P and 720P
- Repository examples show multilingual text in Chinese and English only
- Inference workflows assume access to one or multiple GPUs
Key Information
- Category: Video Models
- Type: AI Video Models Tool