Sampler Comparison (incl. K-Diffusion)

This page summarizes the projects mentioned and recommended in the original post on /r/StableDiffusion

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  • stable-diffusion

    k_diffusion wrapper included for k_lms sampling. fixed for notebook. (by DamascusGit)

  • there's an implementation of the other samplers at the k-diffusion repo. For one integrated with stable diffusion I'd check out this fork of stable that has the files txt2img_k and img2img_k. to use the different samplers just change "K.sampling.sample_lms" on line 276 of img2img_k, or line 285 of txt2img_k to a different sampler, e.g. K.sampling.sample_dpm_2_ancestral.

  • k-diffusion

    Karras et al. (2022) diffusion models for PyTorch

  • there's an implementation of the other samplers at the k-diffusion repo. For one integrated with stable diffusion I'd check out this fork of stable that has the files txt2img_k and img2img_k. to use the different samplers just change "K.sampling.sample_lms" on line 276 of img2img_k, or line 285 of txt2img_k to a different sampler, e.g. K.sampling.sample_dpm_2_ancestral.

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  • stable-diffusion

    Discontinued This version of CompVis/stable-diffusion features an interactive command-line script that combines text2img and img2img functionality in a "dream bot" style interface, a WebGUI, and multiple features and other enhancements. [Moved to: https://github.com/invoke-ai/InvokeAI] (by lstein)

  • Or lstein’s fork https://github.com/lstein/stable-diffusion, which has a nice front-end script (and a working web UI under rapid development)

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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