ComfyUI Hunyuan Latent Nodes provides specialized custom nodes for generating empty latent spaces that are compatible with Hunyuan models, facilitating both image and video creation. This tool enhances the workflow in ComfyUI by allowing users to efficiently generate latent representations tailored for Hunyuan's tensor format.
- Supports fixed aspect ratio selections for common formats such as 1:1 and 16:9.
- Enables latent generation for both images and videos, with automatic dimension adjustments to maintain compatibility.
- Offers specific nodes for image and video generation, allowing for batch processing and customizable resolution settings.
Context
This tool consists of custom nodes specifically designed for ComfyUI, aimed at generating empty latent spaces that align with the requirements of Hunyuan models. Its primary function is to streamline the process of creating latent representations for both images and videos, catering to users who work with Hunyuan's unique tensor format.
Key Features & Benefits
The nodes come equipped with features that enhance usability, such as a selection of common aspect ratios and automatic adjustments to ensure dimensions are multiples of 16. Users can generate both images and videos in parallel, which significantly optimizes the workflow by allowing for batch processing of multiple outputs at once.
Advanced Functionalities
The tool includes two distinct nodes: one for image generation and another for video generation. The image node allows users to select from various resolutions and batch sizes, while the video node extends this functionality by enabling users to specify the number of frames to generate, thus providing flexibility for different creative needs.
Practical Benefits
By utilizing these nodes, ComfyUI users can achieve greater control over their output quality and efficiency. The ability to generate empty latent spaces tailored for Hunyuan models simplifies the integration of these models into existing workflows, ultimately enhancing the overall productivity of users working with AI-generated art.
Credits/Acknowledgments
This repository is maintained under the MIT license, and contributions from the community are encouraged to further enhance its capabilities. Original authors and contributors are acknowledged for their efforts in developing this tool.