Wan 2.2 14B Text to Video

Generate high-quality videos from text prompts with cinematic aesthetic control and dynamic motion generation using Wan 2.2.

Input

Describe the scene, how it moves and how the camera moves.

16 frames per second; 81 frames is about 5 seconds. Use 4n+1 values (49, 81, 121).

Advanced settings

What to avoid.

Leave empty for a new result each run. Enter a number to repeat one.

Output
00:00
Example

试试一个示例

关于此工作流

The 'Wan 2.2 14B Text to Video' workflow in ComfyUI is a sophisticated tool designed to convert text prompts into high-quality videos with a cinematic aesthetic. This workflow leverages the Wan2.2 model, known for its dynamic motion generation and control over video aesthetics, to produce visually engaging content from textual descriptions. The workflow incorporates several key nodes, including the CLIPLoader and CLIPTextEncode for text processing, VAELoader for latent space manipulation, and the UNETLoader for image synthesis.

Technically, the workflow is structured into several groups that handle different stages of video generation. The 'Step1 - Load models' group initializes the necessary models, while 'Step2 - Video size' configures the output dimensions. The 'Wan2.2 T2V fp8_scaled' group is crucial for the text-to-video conversion process, utilizing advanced sampling techniques with the KSamplerAdvanced node. This structured approach ensures that users can generate videos with precise control over quality and style, making it an invaluable tool for creators looking to produce cinematic video content from simple text prompts.

常见问答