A custom node designed for ComfyUI, KSampler (timer) measures the time taken for generating images using the KSampler, facilitating performance evaluation and debugging. It enhances the native KSampler by providing additional output related to generation time, making it a valuable tool for users focused on optimizing their workflows.
- Provides two outputs: generation time as a string and as a float, enhancing data accessibility.
- Useful for benchmarking the KSampler's performance across different configurations or batch sizes.
- Simplifies the debugging process by allowing users to track generation times directly within their workflows.
Context
KSampler (timer) is a specialized node created for use within ComfyUI that tracks and outputs the time taken for image generation using the KSampler. Its primary purpose is to assist users in evaluating and optimizing their image generation processes by providing detailed timing information.
Key Features & Benefits
This tool introduces two key outputs: GENERATION_TIME_STRING, which presents the generation time as a string formatted to two decimal places, and GENERATION_TIME, which provides the raw generation time as a float. These features enable users to easily access and analyze the performance of their image generation tasks, making it easier to identify bottlenecks or inefficiencies.
Advanced Functionalities
KSampler (timer) acts as a wrapper around the standard KSampler, effectively enhancing its functionality without altering its core behavior. The node's ability to report generation time for entire batches allows users to assess performance on a broader scale, although they may need to calculate average times based on batch sizes for more granular insights.
Practical Benefits
By incorporating KSampler (timer) into their workflow, users can gain precise insights into the performance of their KSampler configurations, leading to improved control over generation times. This capability not only aids in debugging but also enhances overall efficiency, allowing artists and developers to optimize their image generation processes based on real-time data.
Credits/Acknowledgments
This tool is developed by @IndustrialVectors and is available under the MIT license. For additional insights and examples, users can refer to the workflows provided in the repository.