The LMS Karras sampler is a variant of the Linear Multistep (LMS) method, specifically designed for use with Stable Diffusion models. It combines the structural integrity of the LMS method with enhancements introduced by Karras et al., aiming to improve image generation quality.
Key Features:
- Structural Integrity: The LMS Karras sampler maintains the clean structure of the original LMS method, ensuring that generated images retain their intended composition.
- Enhanced Smoothness: By incorporating Karras’ modifications, this sampler introduces smoother transitions in the image generation process, leading to more natural and visually appealing results.
- Efficiency at Lower Step Counts: The combination of LMS and Karras’ enhancements allows for effective image generation even at lower step counts, making the process faster without compromising quality.
Usage Considerations:
- Performance Variability: Some users have reported that the LMS Karras sampler may not converge as effectively as other samplers, such as Euler, at higher step counts. This suggests that while it can produce good results at lower steps, it may require more experimentation to achieve optimal outcomes at higher steps.
- Artifacting at High Steps: There are observations indicating that using the LMS Karras sampler with step counts above approximately 50 can lead to artifacting and visual noise in the generated images. This issue may be specific to certain configurations or versions of the sampler.